Cost Management Jobs in Mumbai

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.

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:

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

Core team Engineer – CLOSURE

RLE India Private Limited•

Chennai

•full time

Job Summary We are seeking a skilled and experienced Core Team Engineer to join our team in Chennai. This role will focus on the design, development, and validation of closure systems for our automotive products. The ideal candidate will possess a strong understanding of mechanical engineering principles, design methodologies, and manufacturing processes. Key Responsibilities The Core Team Engineer will be responsible for a range of tasks related to closure systems, including design, analysis, validation, and continuous improvement. This role requires a proactive approach to problem-solving and a commitment to delivering high-quality results within a fast-paced environment. Required Skills & Qualifications Education: A Bachelor of Engineering (B.E.) / Bachelor of Technology (B. Tech.) / Master of Engineering (M. E) / Master of Technology (M. Tech.) degree in Mechanical or Automotive Engineering is required. Experience: 6-9 years of experience in automotive engineering, specifically related to closure systems, is expected. This level of experience indicates a proven ability to independently manage complex engineering tasks and contribute to team goals. Analytical Skills: Demonstrated ability to analyze complex engineering problems and develop effective solutions. This includes the ability to interpret data, identify trends, and draw logical conclusions. Problem-Solving Skills: A systematic and resourceful approach to problem-solving, with the ability to identify root causes and implement corrective actions. Communication Skills: Excellent written and verbal communication skills, with the ability to effectively communicate technical information to both technical and non-technical audiences. Closure Parts Design: Expertise in the design of closure parts, ensuring functionality, manufacturability, and compliance with industry standards. Closure Systems Design: Comprehensive knowledge of closure systems design, including mechanisms, sealing technologies, and integration with vehicle systems. Product Life Cycle Management: Familiarity with Product Life Cycle Management principles and practices, ensuring efficient management of product data and processes. Manufacturing Knowledge: A strong understanding of manufacturing processes, including die process and die tryouts, to ensure designs are feasible for production. MIS: Proficiency in MIS (Management Information Systems) for data analysis and reporting. QFS, QUI, TGW: Experience with QFS , QUI , and TGW tools and methodologies. DFMEA: Expertise in DFMEA (Design Failure Mode and Effects Analysis) to identify and mitigate potential design risks. CAD: Proficiency in CAD (Computer-Aided Design) software, including UG-Nx and CATIA . DVPR: Knowledge of DVPR (Design Verification Plan and Report) processes and requirements. Die Process: Understanding of Die Process principles and their impact on part quality and manufacturability. Die Tryouts: Experience with Die Tryouts to validate tooling and production processes. Weight Optimization: Ability to apply Weight Optimization techniques to minimize part weight without compromising performance or functionality. Cost Optimization: Experience in Cost Optimization strategies to reduce manufacturing costs while maintaining quality. Sheet Metal Design: Expertise in Sheet Metal Design principles and practices. Formability: Understanding of Formability considerations in sheet metal design. Mechanism: Strong understanding of mechanical Mechanism principles. Sealing: Knowledge of Sealing technologies and their application in closure systems. CDL Analysis: Ability to perform CDL (Crash Duration Limit) analysis to ensure safety performance. Kinematic Simulation: Proficiency in Kinematic Simulation to validate system functionality and performance. GD&T: Expertise in GD&T (Geometric Dimensioning and Tolerancing) principles. Benchmarking: Ability to conduct Benchmarking studies to identify best practices and competitive advantages. Tear Down Activities: Experience in Tear Down Activities to analyze competitor products and identify design insights. Regulatory Requirements: Knowledge of relevant Regulatory Requirements for automotive closure systems. Teamcenter: Experience with Teamcenter for product data management. What We Offer Salary: