Cost Jobs

SAP ABAP S4 HANA Technical Consultant (Finance & Controlling)

SACHA Engineering•

Hyderabad

•full time

Job Summary We are seeking a skilled and experienced SAP ABAP S4 HANA Technical Consultant specializing in Finance and Controlling to join our dynamic team. This is a hybrid role requiring a blend of on-site and remote work. The ideal candidate will possess a strong technical foundation in SAP , with a particular focus on S4 HANA , and a deep understanding of Finance and Controlling modules. This role demands a proactive individual capable of independently tackling complex technical challenges and collaborating effectively with Functional Teams . Key Responsibilities The SAP ABAP S4 HANA Technical Consultant will be responsible for the design, development, and implementation of SAP solutions within the Finance and Controlling areas. This includes, but is not limited to, the creation and maintenance of RICEF Objects , Reports , Interfaces , Conversions , Enhancements , and Forms . The role also involves ensuring S/4HANA Compatibility and performing Performance Optimization on existing SAP code. Required Skills & Qualifications SAP ABAP : Extensive experience in SAP ABAP development, including Object Oriented ABAP and AMDP . S4 HANA : Proven ability to develop and implement solutions within the S4 HANA environment. Finance & Controlling : A thorough understanding of Finance and Controlling principles and their application within SAP , including FI , GL , Accounts Payable (AP) , Accounts Receivable (AR) , Asset Accounting (AA) , Bank Accounting , Treasury Management , Taxation , Cost Center Accounting , Profit Center Accounting , Internal Orders , Product Cost Controlling , CO PA , Credit Management , Financial Closing , Financial Reporting , and Intercompany Accounting . RICEF Objects : Expertise in the creation and modification of RICEF Objects (Reports, Interfaces, Conversions, Enhancements, and Forms). CDS Views & OData Services : Proficiency in developing CDS Views and OData Services for data retrieval and integration. APIs : Experience with APIs for seamless system integration. Workflows : Ability to design and implement Workflows to automate business processes. Impact Analysis & Root Cause Analysis : Strong analytical skills to perform Impact Analysis and Root Cause Analysis to resolve technical issues. Technical Troubleshooting : Excellent Technical Troubleshooting skills to identify and resolve SAP system errors. Data Migration : Experience with Data Migration processes and tools. System Integration : Ability to integrate SAP with other systems. Performance Optimization : Skills in Performance Tuning to optimize SAP system performance. Code Reviews : Ability to conduct and participate in Code Reviews to ensure code quality and adherence to SAP Development Standards . Unit Test Scripts : Experience in creating and executing Unit Test Scripts . Technical Documentation : Ability to create clear and concise Technical Documentation . Release Management & Hypercare : Familiarity with Release Management processes and Hypercare support. Basis & Security : Understanding of Basis and Security concepts within SAP . Debugging : Proficient in Debugging SAP code. Analytical Skills : Strong Analytical Skills to analyze complex data and identify trends. Problem-Solving Skills : Excellent Problem-Solving Skills to resolve technical challenges effectively. Communication Skills : Effective Communication Skills to collaborate with Functional Teams and communicate technical information clearly. Familiarity with Enhancement Framework , BADI , User Exits , BTE , BRF+ , ALV Reports , Background Jobs , Financial Interfaces , Bank Interfaces , Payment Interfaces , Journal Entry Upload Programs , Asset Upload Programs , Tax Reports , and Treasury Interfaces . Experience Required : 8 - 15 years of experience in SAP ABAP development, with a focus on Finance and Controlling modules. We are seeking a senior-level consultant capable of working independently and mentoring junior team members. What We Offer Salary: 26 LPA

Vehicle Synthesis Responsible / PROJECT RESPONSIBLE (PR)

RLE India Private Limited•

Pune

•full time

Job Summary We are seeking a highly motivated and experienced Vehicle Synthesis Responsible / PROJECT RESPONSIBLE (PR) to join our team within the Automotive industry. This role requires an onsite presence and will be pivotal in ensuring the successful synthesis and management of vehicle projects. Key Responsibilities The Vehicle Synthesis Responsible / PROJECT RESPONSIBLE (PR) will be responsible for overseeing and coordinating the synthesis of vehicle components and systems, ensuring alignment with project goals, quality standards, and cost targets. This includes managing the implementation of design changes, analyzing weight deviations, and incorporating lessons learned to continuously improve processes and outcomes. Required Skills & Qualifications Architecture: Demonstrated ability to understand and apply vehicle architecture principles to ensure cohesive system integration and optimal performance. Quality: A strong commitment to quality assurance and a proven track record of implementing quality control measures throughout the vehicle synthesis process. Cost: Experience in managing project costs effectively, identifying cost-saving opportunities, and ensuring adherence to budgetary constraints. Technical: Possessing a strong technical understanding of vehicle systems and components, enabling effective problem-solving and decision-making. Performance: Ability to analyze vehicle performance metrics and identify areas for improvement through design optimization and system integration. Standardization: Experience in developing and implementing standardization processes to ensure consistency and efficiency in vehicle synthesis. Innovation: A proactive approach to identifying and implementing innovative solutions to enhance vehicle design and performance. Benchmark: Ability to conduct benchmark studies and analyze competitor vehicles to identify best practices and areas for improvement. Timing: Excellent time management and organizational skills, with the ability to prioritize tasks and meet deadlines effectively. Design Changes: Experience in managing and implementing design changes, ensuring minimal disruption to project timelines and quality standards. Weight Deviations: Ability to analyze and address weight deviations, identifying root causes and implementing corrective actions. Lesson Learned: A commitment to documenting and sharing lessons learned to continuously improve processes and prevent future errors. Internal Control System: Familiarity with and adherence to internal control systems to ensure compliance and accountability. Experience Required: The ideal candidate will possess a minimum of 6 to 9 years of relevant experience in vehicle synthesis or a related field. This level of experience indicates a high degree of proficiency and the ability to lead and manage complex projects effectively. What We Offer Salary: (No salary information provided)

Google Cloud Engineer - SSE

SACHA Engineering•

Bengaluru

+4 More

Other Locations4 cities

Mumbai

Pune

Chennai

Hyderabad

•full time

Job Summary We are seeking a skilled and experienced Google Cloud Engineer - Site Support Engineer (SSE) to join our dynamic IT / Technology team. This is a hybrid role requiring a blend of on-site and remote work. The ideal candidate will possess a strong foundation in cloud technologies, particularly within the Google Cloud Platform , and a proven ability to design, implement, and maintain robust and scalable cloud solutions. Key Responsibilities The Google Cloud Engineer - SSE will be responsible for a range of tasks related to the design, implementation, and maintenance of our Google Cloud infrastructure. This includes ensuring high availability, implementing robust security measures, and proactively identifying and resolving potential issues. The role requires a strong focus on automation and continuous improvement to optimize our cloud environment. Required Skills & Qualifications Education: A Bachelor’s degree in computer science or a related field, or a higher degree, is required. Experience: A minimum of 6-9 years of relevant experience in cloud engineering or a related field is expected. This level of experience indicates a seasoned professional capable of independently managing complex cloud environments and mentoring junior team members. DevOps: Demonstrated proficiency in DevOps principles and practices, with a focus on automation, continuous integration, and continuous delivery. Google Kubernetes Engine (GKE): Extensive experience with GKE , including cluster configuration, scaling, and management. Infrastructure-as-Code: Strong understanding and practical experience with Infrastructure-as-Code methodologies and tools. Terraform: Expertise in using Terraform to provision and manage Google Cloud resources. Deployment Manager: Familiarity with Deployment Manager for automated deployment of Google Cloud applications and infrastructure. CI/CD: Proven ability to design and implement CI/CD pipelines using tools such as Cloud Build , Jenkins , and GitHub Actions . Kubernetes: Deep understanding of Kubernetes concepts, including Deployments , Services , and Ingress . Helm: Experience using Helm for package management and deployment of Kubernetes applications. Programming Languages: Proficiency in at least one or more of the following programming languages: Python , Bash , Go . GitOps: Knowledge of GitOps principles and experience with tools like ArgoCD . Cloud Governance: Understanding of Cloud Governance best practices and experience implementing policies and controls. Cost Management: Ability to monitor and optimize cloud costs. Compliance: Familiarity with compliance requirements and experience implementing security controls. Cloud Migration: Experience with Cloud Migration strategies and execution. System Reliability: A strong focus on System Reliability and the ability to design and implement highly available and resilient systems. High Availability & Redundancy: Experience designing and implementing High Availability and Redundancy solutions. Backup Strategies: Knowledge of effective Backup Strategies and implementation. Proactive Monitoring: Ability to implement Proactive Monitoring solutions to identify and resolve potential issues before they impact users. Process Efficiencies: A commitment to identifying and implementing Process Efficiencies to improve operational efficiency. Analytical Skills: Strong Analytical Skills to troubleshoot complex issues and identify root causes. Problem-Solving Skills: Excellent Problem-Solving Skills to effectively resolve technical challenges. Communication Skills: Exceptional Communication Skills to clearly and concisely communicate technical information to both technical and non-technical audiences. Relationship Building: Ability to build and maintain strong relationships with stakeholders across the organization. Planning & Prioritization: Strong Planning and Prioritization skills to manage multiple tasks and projects effectively. What We Offer Salary: ₹20,00,000 per annum.

CAE Analyst – Brakes Analysis

RLE India Private Limited•

Chennai

•Full-time

CAE Analyst – Brakes Analysis Job Description Job Summary We are seeking a skilled and experienced CAE Analyst – Brakes Analysis to join our team in Chennai. This role will focus on performing comprehensive analyses related to automotive brake systems, utilizing advanced simulation techniques to ensure optimal performance, durability, and NVH characteristics. The ideal candidate will possess a strong understanding of brake fundamentals, structural mechanics, and materials science, coupled with proficiency in industry-standard CAE tools. Key Responsibilities The CAE Analyst – Brakes Analysis will be responsible for the following: Conducting NVH and Durability analyses on automotive brake systems, including Disc brakes and Drum brakes . Performing CEA (Complex Eigenvalue Analysis) to identify and mitigate potential issues related to vibration and noise. Developing and executing Force transfer path and Force to body transmissibility analyses to understand and minimize unwanted vibrations. Generating Actionable design recommendations based on simulation results to improve brake system performance and reduce Undesired vibrations . Collaborating with Cross-functional teams , including design, validation, and manufacturing, to ensure seamless integration of Simulation data . Analyzing Vehicle and Dynamometer test data to validate simulation models and refine analysis techniques. Identifying Root causes of brake system issues and proposing effective Countermeasures . Contributing to the development of Cost-effective and Optimal brake solutions . Required Skills & Qualifications The ideal candidate will possess the following skills and qualifications: B.E / B.Tech / M.E / M.Tech degree in a relevant engineering discipline (e.g., Mechanical Engineering). Experience of 3 - 10 years in CAE analysis, specifically related to automotive brake systems. This level of experience indicates a seasoned professional capable of independently managing complex analyses and providing technical leadership. Strong understanding of Brake fundamentals , Structural mechanics , and Materials science . Proficiency in performing NVH and Durability analyses. Expertise in utilizing Abaqus and Nastran for Virtual modeling and simulation. Experience with CEA (Complex Eigenvalue Analysis) and its application to brake system analysis. Ability to perform Model Prep and interpret Simulation data effectively. Familiarity with Manufacturing constraints and their impact on brake system design. Strong analytical skills and the ability to translate complex data into clear and concise Actionable design recommendations . Experience working within Cross-functional teams . Knowledge of Brakes NVH work and Brake NVH analysis. Understanding of Transmissibility and its impact on brake system performance. What We Offer We offer a competitive compensation package, including a salary range of 90 LPA - 130 LPA .

Quality Data Analyst – Electrical Hardware Engineering, Warranty Analytics | KPI Automation | Design Assessment | AI Adoption

RLE India Private Limited•

Chennai

•full time

Job Summary We are seeking a skilled and experienced Quality Data Analyst to join our team. This role will focus on leveraging data analysis and advanced techniques to support our Electrical Hardware Engineering, Warranty Analytics, KPI Automation, Design Assessment, and AI Adoption initiatives within the Automotive / Technology industry. The ideal candidate will possess a strong analytical background and a passion for driving data-driven decisions. Key Responsibilities This role will be responsible for a range of tasks including data analysis, visualization, and reporting to support quality initiatives. The candidate will be expected to identify trends, anomalies, and opportunities for improvement within warranty data, cost trends, and design performance. They will also be involved in the automation of KPI reporting and the implementation of AI -assisted analytics to enhance predictive quality and drive corrective action management . Required Skills & Qualifications Data Analysis: Demonstrated ability to extract, clean, and analyze large datasets to identify meaningful insights and trends. Data Visualization: Proficiency in creating compelling and informative data visualizations using tools such as Power BI and Excel Analytics to communicate complex information effectively. Dashboarding & KPI Reporting: Experience in designing and developing interactive dashboards and automated KPI reports to track key performance indicators and monitor quality metrics. Data Storytelling: Ability to translate data insights into clear and concise narratives that resonate with stakeholders and drive informed decision-making. SQL: Strong proficiency in SQL for data extraction, manipulation, and analysis. Python: Experience using Python for data analysis, scripting, and automation. Databricks: Familiarity with Databricks for data processing and analytics. Power Automate: Experience with Power Automate for workflow automation and data integration. Warranty Data Analytics: Expertise in analyzing warranty data to identify root causes of failures, predict future trends, and optimize product designs. Cost Trend Analysis: Ability to analyze cost trends to identify areas for cost reduction and process improvement. KPI Automation: Experience in automating KPI reporting and data collection processes. Multi-Source Data Integration: Ability to integrate data from multiple sources to create a comprehensive view of quality performance. AI-Assisted Analytics: Experience leveraging AI and Generative AI techniques to enhance data analysis and predictive modeling. Predictive Quality: Ability to apply statistical methods and machine learning algorithms to predict product quality and identify potential issues proactively. Anomaly Detection: Experience in identifying and investigating anomalies in data to uncover potential quality problems. Root Cause Analysis: Expertise in conducting root cause analysis to identify the underlying causes of quality issues. Corrective Action Management: Ability to develop and implement corrective action plans to address quality issues and prevent recurrence. DFMEA, DRBFM, APQP: Familiarity with DFMEA , DRBFM , and APQP methodologies for design and process improvement. Statistical Tools: Proficiency in using various statistical tools for data analysis and quality control. Structured Problem Solving: Ability to apply structured problem-solving techniques to identify and resolve quality issues. Process Optimization: Experience in identifying and implementing process optimization initiatives to improve quality and efficiency. Lean & Six Sigma: Knowledge of Lean and Six Sigma principles for continuous improvement. Quality Tools: Familiarity with various quality tools and techniques for data analysis and problem-solving. Issue Management: Ability to effectively manage and track quality issues to resolution. Warranty Management: Experience in managing warranty claims and analyzing warranty data. Field Quality Analysis: Ability to analyze field quality data to identify trends and patterns. Design Assessment: Ability to conduct design assessments to identify potential quality risks and improve product designs. Design Integrity: Understanding of design integrity principles and their impact on product quality. Design Robustness: Ability to evaluate and improve the design robustness of products. Lessons Learned Deployment: Ability to capture and deploy lessons learned from quality issues to prevent recurrence. Analytical Skills: Strong analytical skills with the ability to interpret data and draw meaningful conclusions. Problem-Solving Skills: Excellent problem-solving skills with the ability to identify and resolve complex quality issues. Data Interpretation Skills: Ability to accurately interpret data and translate it into actionable insights. Communication Skills: Excellent communication skills with the ability to effectively communicate technical information to both technical and non-technical audiences. Stakeholder Management: Ability to build and maintain relationships with key stakeholders . Leadership-Ready Presentation Skills: Ability to deliver compelling and persuasive presentations to senior management. Qualifications: Bachelor’s degree in Electrical Engineering, Electronics Engineering, Automotive Engineering, Data Analytics, Computer Science, or a related engineering discipline. What We Offer Experience Required: 5 - 10 years of relevant experience. Salary:

Quality Data Analyst – Electrical Hardware EngineeringWarranty Analytics | KPI Automation | Design Assessment | AI Adoption

RLE India Private Limited•

Chennai

•full time

Job Summary We are seeking a skilled and experienced Quality Data Analyst to join our Electrical Hardware Engineering team. This role will focus on Warranty Analytics, KPI Automation, Design Assessment, and the adoption of AI within our quality processes. The ideal candidate will possess a strong analytical background and a passion for leveraging data to drive improvements in product quality and operational efficiency. This is an onsite position. Key Responsibilities The Quality Data Analyst will be responsible for a range of tasks including: Performing Data Analysis to identify trends and patterns in warranty data, product performance, and manufacturing processes. Developing and maintaining KPI Reporting dashboards to track key quality metrics and provide actionable insights to stakeholders. Automating KPI generation and reporting processes to improve efficiency and accuracy. Conducting Root-Cause Analysis of quality issues and collaborating with engineering teams to implement effective Corrective Action Management plans. Utilizing Data Mining techniques to uncover hidden patterns and insights within large datasets. Applying Statistical Analysis methods to evaluate product performance and identify areas for improvement. Leveraging AI-Assisted Analytics and Generative AI to enhance data analysis capabilities and identify potential quality risks. Implementing Process Optimization strategies to streamline quality control processes and improve overall efficiency. Required Skills & Qualifications To be successful in this role, candidates must possess the following skills and qualifications: A Bachelor’s degree in Electrical Engineering, Electronics Engineering, Automotive Engineering, Data Analytics, Computer Science, or a related engineering discipline. 5-10 years of experience in a data analysis role, preferably within the automotive or technology industry. This level of experience indicates a proven ability to independently manage complex data analysis projects and deliver impactful insights. Data Analysis : A strong foundation in data analysis techniques, including data cleaning, transformation, and exploration. Data Visualization : Proficiency in creating compelling and informative data visualizations to communicate insights effectively. Dashboarding : Experience in designing and developing interactive dashboards using tools such as Power BI . KPI Reporting : Ability to define, track, and report on key performance indicators ( KPIs ) to measure quality performance. Data Storytelling : Skill in translating complex data into clear and concise narratives that resonate with stakeholders. Quality Tools : Familiarity with various quality tools and methodologies, such as Lean and Six Sigma . Issue Management : Experience in identifying, tracking, and resolving quality issues in a timely and effective manner. Root-Cause Analysis : Ability to conduct thorough root-cause analyses to identify the underlying causes of quality problems. Corrective Action Management : Experience in developing and implementing corrective action plans to prevent recurrence of quality issues. Process Optimization : Ability to identify and implement process improvements to enhance quality control processes. Power BI : Proficiency in using Power BI to create interactive dashboards and reports. Excel Analytics : Advanced skills in Excel for data analysis and reporting. SQL : Strong proficiency in SQL for querying and manipulating data. Python : Experience using Python for data analysis and automation. Databricks : Familiarity with Databricks for big data processing and analysis. Power Automate : Experience using Power Automate for automating data-related tasks. Warranty Data Analytics : Experience analyzing warranty data to identify trends and patterns. Cost Trend Analysis : Ability to analyze cost trends to identify opportunities for cost savings. KPI Automation : Experience automating KPI generation and reporting processes. Multi-Source Data Integration : Ability to integrate data from multiple sources into a unified view. AI-Assisted Analytics : Experience leveraging AI to enhance data analysis capabilities. Predictive Quality : Ability to use data to predict potential quality issues. Anomaly Detection : Skill in identifying unusual patterns or outliers in data. Generative AI : Familiarity with Generative AI techniques for data analysis and insights. Process Automation : Experience automating manual processes to improve efficiency. Data Mining : Ability to extract valuable insights from large datasets. Statistical Analysis : Proficiency in applying statistical methods to analyze data. Quality Metrics : Understanding of key quality metrics and their application. Data Definitions : Ability to define clear and consistent data definitions. What We Offer We offer a competitive salary of .

Quality Data Analyst – Electrical Hardware Engineer

RLE India Private Limited•

Chennai

•full time

Job Summary We are seeking a skilled and experienced Quality Data Analyst to join our Electrical Hardware Engineering, Warranty Analytics & Quality Automation team. This role will be instrumental in leveraging data to drive quality improvements, identify trends, and ensure the reliability of our products. The ideal candidate will possess a strong analytical background, a passion for data-driven decision-making, and a commitment to continuous improvement within the automotive and technology industries. Key Responsibilities The Quality Data Analyst will be responsible for a range of tasks related to data analysis, reporting, and process improvement. This includes conducting in-depth analysis of warranty data, identifying cost trends, and developing automated reporting solutions. The role will also involve collaborating with cross-functional teams to implement corrective actions and preventative measures to enhance product quality and reliability. Required Skills & Qualifications To be successful in this role, candidates must possess a combination of technical skills, analytical abilities, and a strong understanding of quality methodologies. Specific requirements include: Analytical Skills: Demonstrated ability to analyze complex data sets, identify patterns, and draw meaningful conclusions. Problem-Solving Skills: Proven ability to approach complex problems systematically, identify root causes, and develop effective solutions. Data Analysis: Proficiency in data analysis techniques, including statistical analysis and data mining. Data Visualization: Ability to create clear and compelling data visualizations to communicate insights effectively. Dashboarding: Experience in designing and developing interactive dashboards to monitor key performance indicators (KPIs). KPI Reporting: Ability to generate regular reports on KPIs and present findings to stakeholders. Data Storytelling: Ability to translate data into a narrative that is easy to understand and actionable. SQL: Strong proficiency in SQL for data extraction, manipulation, and analysis. Python: Experience using Python for data analysis and automation. Databricks: Familiarity with Databricks for large-scale data processing and analytics. Power Automate: Experience with Power Automate for automating data-related tasks and workflows. Warranty Data Analytics: Expertise in analyzing warranty data to identify trends and opportunities for improvement. Cost Trend Analysis: Ability to analyze cost data to identify trends and potential cost savings. KPI Automation: Experience in automating the generation and distribution of KPIs. Multi-Source Data Integration: Ability to integrate data from multiple sources into a unified view. AI-Assisted Analytics: Experience leveraging AI to enhance data analysis and predictive modeling. Predictive Quality: Knowledge of predictive quality techniques to anticipate and prevent quality issues. Anomaly Detection: Ability to identify unusual patterns or outliers in data that may indicate quality problems. Generative AI: Familiarity with Generative AI techniques for data analysis and problem-solving. Issue Management: Experience in tracking and resolving quality issues. Root-Cause Analysis: Proficiency in conducting root-cause analysis to identify the underlying causes of quality problems. Corrective Action Management: Ability to develop and implement effective corrective actions to prevent recurrence of quality issues. DFMEA: Understanding of DFMEA (Design Failure Mode and Effects Analysis) principles. DRBFM: Understanding of DRBFM (Design Review Based on Failure Mode) principles. APQP: Understanding of APQP (Advanced Product Quality Planning) principles. Statistical Tools: Proficiency in using various statistical tools for data analysis and quality improvement. Structured Problem Solving: Ability to apply structured problem-solving methodologies to address quality challenges. Power BI: Proficiency in Power BI for data visualization and reporting. Excel Analytics: Strong Excel skills for data analysis and reporting. Process Optimization: Ability to identify and implement process improvements to enhance quality and efficiency. Six Sigma: Knowledge of Six Sigma methodologies for process improvement. Quality Tools: Familiarity with various quality tools and techniques. Lean: Understanding of Lean principles for waste reduction and process improvement. Education: A Bachelor’s degree in Electrical Engineering, Electronics Engineering, Automotive Engineering, Data Analytics, Computer Science, or a related engineering discipline is required. Experience: The ideal candidate will have 5-10 years of experience in a related field, demonstrating a strong track record of success in data analysis and quality improvement. This level of experience is expected to provide a solid foundation for independent work and leadership within a team. What We Offer Salary:

Sourcing Buyer

SACHA Engineering•

Chennai

•full time

Job Summary We are seeking a skilled and experienced Sourcing Buyer to join our Procurement team. This role will be responsible for sourcing and procuring materials and services, ensuring cost-effectiveness, and maintaining strong supplier relationships. The ideal candidate will possess a strong analytical background and a proven ability to negotiate favorable terms and conditions. Key Responsibilities The Sourcing Buyer will be responsible for a range of tasks including, but not limited to, managing the RFQ and RFP processes, generating Purchase Orders , and conducting thorough Supplier Evaluation and Supplier Selection . They will also be expected to identify opportunities for Cost Reduction and contribute to Supplier Development initiatives. Required Skills & Qualifications Analytical Skills: Demonstrated ability to analyze data, identify trends, and make data-driven decisions to optimize sourcing strategies. Problem-Solving Skills: A proactive approach to identifying and resolving sourcing challenges, with a focus on finding creative and effective solutions. Communication Skills: Excellent written and verbal communication skills to effectively interact with internal stakeholders and external suppliers. Negotiation: Proven ability to negotiate favorable terms and conditions with suppliers, securing optimal pricing and quality. Commercial Skills: A strong understanding of commercial principles and practices, including Incoterms , Commercial Terms , and Legal Terms . RFQ/RFP Management: Experience managing the full cycle of RFQ (Request for Quotation) and RFP (Request for Proposal) processes. Purchase Order Management: Proficiency in generating and managing Purchase Order documentation. Cost Breakdown Analysis: Ability to analyze Cost Breakdown structures to identify cost drivers and opportunities for improvement. Supplier Evaluation & Selection: Experience in conducting thorough Supplier Evaluation and Supplier Selection processes. Cost Reduction Initiatives: A track record of identifying and implementing Cost Reduction initiatives. Supplier Development: Ability to contribute to Supplier Development programs to improve supplier performance. Stakeholder Management: Strong Stakeholder-Management Skills to effectively collaborate with internal teams. Technical Proficiency: Proficiency in MS Excel for data analysis and reporting. ERP Systems: Experience working with ERP Systems , including SAP , Oracle , and NetSuite . Supplier Management: Proven ability to manage and maintain strong supplier relationships. NPD and Localization experience is a plus. Alternate Supplier Development experience is a plus. VA/VE experience is a plus. Raw Material Price Movements and Indices understanding. Supply Base Acumen . Familiarity with the Automotive and Aerospace industries. Knowledge of Precision Machined Parts , Sliding Heads , VMC , and HMC . Understanding of Post Treatment Processes , including Heat Treatment , Plating , and Coating . Experience with Castings , SGI , PDC , GI , and Aluminium Housings . Knowledge of Machining , Fasteners , and Plastics . Understanding of Injection Molding Processes . Experience with Cost Models . Familiarity with High Speed Stampings , Electrical Parts , PCB , and Wiring Harnesses . Qualifications: A Bachelor’s degree in Engineering with a Post Graduate Degree in Procurement , Business Administration , or a related field is required. What We Offer Experience Required: We are seeking candidates with 4 - 8 years of relevant experience. This level of experience indicates a readiness to assume a mid-level role with increasing responsibility within the sourcing function. Salary:

Google Cloud Engineer - SSE

SACHA Engineering•

Bengaluru

+3 More

Other Locations3 cities

Pune

Chennai

Hyderabad

•full time

Job Summary We are seeking a highly skilled and motivated Google Cloud Engineer - SSE to join our growing team. This is a hybrid role requiring a blend of hands-on technical expertise and collaborative teamwork. The ideal candidate will possess a strong foundation in cloud technologies, particularly within the Google Cloud Platform , and a proven ability to design, implement, and maintain robust and scalable cloud solutions. Key Responsibilities The Google Cloud Engineer - SSE will be responsible for a range of tasks related to the design, implementation, and maintenance of our Google Cloud infrastructure. This includes automating infrastructure provisioning, optimizing cloud resources for cost and performance, and ensuring the reliability and security of our cloud-based applications and services. Required Skills & Qualifications Education: A Bachelor’s degree in computer science or a related field, or a higher degree, is required. A minimum of 3 years of relevant experience is expected. Experience: 6 - 10 years of experience in a related field is required. This level of experience indicates a strong understanding of cloud technologies and a proven ability to work independently and as part of a team. DevOps: Demonstrated proficiency in DevOps principles and practices, with a focus on automation and continuous delivery. Google Kubernetes Engine (GKE): Extensive experience with GKE , including cluster configuration, deployment, and management. Infrastructure-as-Code: Strong understanding and practical experience with Infrastructure-as-Code methodologies and tools. Terraform: Expertise in using Terraform to provision and manage Google Cloud resources. Deployment Manager: Familiarity with Deployment Manager for automated deployment of Google Cloud resources. CI/CD: Deep understanding of CI/CD pipelines and experience with tools such as Cloud Build , Jenkins , and GitHub Actions . Kubernetes: Solid foundation in Kubernetes concepts, including Deployments , Services , and Autoscaling . Programming/Scripting: Proficiency in Python and Bash scripting for automation and system administration tasks. Version Control: Experience with GitOps principles and tools like ArgoCD and Helm . Cloud Governance: Knowledge of Cloud Governance best practices and experience implementing policies and controls. Cost Management: Ability to analyze and optimize Cloud costs, ensuring efficient resource utilization. Compliance: Understanding of Compliance requirements and experience implementing security measures to meet regulatory standards. Cloud Migration: Experience with Cloud Migration strategies and methodologies. System Reliability: Strong focus on System Reliability and experience designing and implementing highly available and resilient systems. High Availability & Redundancy: Expertise in designing for High Availability and Redundancy . Backup Strategies: Experience developing and implementing effective Backup Strategies . Proactive Monitoring: Ability to implement Proactive Monitoring solutions to identify and address potential issues before they impact users. Process Efficiencies: A commitment to identifying and implementing Process Efficiencies to improve operational effectiveness. Analytical Skills: Strong Analytical Skills for problem-solving and data-driven decision-making. Problem-Solving Skills: Excellent Problem-Solving Skills with the ability to troubleshoot complex technical issues. Communication Skills: Effective Communication Skills for collaborating with cross-functional teams and communicating technical concepts to both technical and non-technical audiences. Teamwork: Demonstrated ability to work effectively as part of a Teamwork environment. What We Offer Salary: ₹15 LPA - ₹20 LPA

DRE – SWITCHES

RLE India Private Limited•

Pune

•full time

Job Summary We are seeking a skilled and detail-oriented DRE – Switches professional to join our team in Pune. This role will focus on the development, validation, and integration of various switch modules for automotive applications. Key Responsibilities This role will be responsible for a wide range of switch-related activities, including but not limited to: Developing and defining switch circuit architectures. Performing voltage and current analysis to ensure optimal switch performance. Coordinating PCB interface and connector selection. Implementing ESD protection measures. Developing switch illumination strategies, including LED illumination and dimming. Coordinating with EMC/EMI teams to ensure compliance. Defining harness interfaces and coordinating with electrical engineering teams. Developing switch matrixes and integrating capacitive sensing capabilities. Performing short circuit and overload protection analysis. Integrating switches with electronic control units ( ECUs ). Defining diagnostic strategies for switch functionality. Integrating LIN slave modules. Managing switch illumination dimming strategies and power mode management. Ensuring technical feasibility and design robustness of switch solutions. Overseeing vehicle-level switch integration. Required Skills & Qualifications Bachelor's degree ( B.E. / B. Tech. / M. E / M. Tech ) in Electronics and Telecommunication, Mechanical, or Electronics & Electrical Engineering. Proficiency in Driver Switches , Passenger Switches , and Non-Ergonomic Switches . Strong understanding of EE Architecture and the ability to create and interpret Circuit Diagrams . Experience with CATIA and CAD Packaging for switch design and modeling. Familiarity with Engineering Change management processes. Knowledge of Homologation and Regulation Compliance requirements. Experience with Product Release cycles and Supplier Management . Ability to contribute to Weight Reduction and Cost Reduction initiatives. Experience with Validation processes and APQP methodologies. Familiarity with PLM systems. Knowledge of various switch types including HVAC/FATC control switches , Rotary Knobs , Capacitive Touch Panels , Push Buttons , and Haptic Feedback Mechanisms . Experience with Illumination Guides , Symbols , Decorative Bezels , and Trims . Familiarity with Steering Wheel Switches , Audio Control Switches , Cruise Control Switches , and ADAS Switches . Experience with Paddle Switches , Backlit Switch Modules , and Steering Wheel Mounted Controls . Understanding of Airbag Package Interface Coordination . Experience with Window Switches , Seat Switches , Sunroof Switches , and Hazard Switches . Familiarity with Console Switches , Roof Control Switches , and Ambient Control Switches . Ability to define Switch Circuit Architecture . Experience with LED Illumination Development . Ability to coordinate PCB Interface Coordination . Knowledge of Connector Selection and Terminal Selection . Experience with ESD Protection Implementation . Ability to perform Backlighting Development . Ability to coordinate EMC/EMI Requirement Coordination . Ability to define Harness Interface Definition . Ability to coordinate CAN/LIN Communication Coordination . Ability to develop Switch Matrix Development . Ability to integrate Capacitive Sensing Integration . Ability to perform Short Circuit Analysis and Overload Protection Analysis . Experience with Electronics Integration . Ability to work with ECU Teams . Ability to integrate HMI Signal Integration . Ability to define Diagnostic Strategy Definition . Ability to integrate LIN Slave Module Integration . Ability to define Switch Illumination Dimming Strategy . Ability to manage Power Mode Management , Wake-Up Strategy , and Sleep Mode Strategy . Ability to coordinate PCB Packaging Coordination . Ability to perform Vehicle Level Switch Integration . What We Offer