LIN Jobs in Pune

DRE Mechatronic (Sensor)

RLE India Private Limited•

Pune

+1 More

Other Locations1 cities

Chennai

•Full-time

DRE Mechatronic (Sensor) Job Summary We are seeking a skilled and experienced DRE Mechatronic (Sensor) professional to join our team. This role will be based in either Pune or Chennai and will contribute to the design, development, and validation of mechatronic systems within the automotive industry. Key Responsibilities This role involves a broad range of responsibilities encompassing the entire product lifecycle, from initial concept to production release. Key areas of focus include: Engineering and Design : Contributing to the design and development of mechatronic components and systems. Development : Participating in the development and testing of new products and features. Timing and Product Release : Ensuring timely product releases and adherence to project timelines. Supplier Management : Collaborating with suppliers to ensure quality and timely delivery of components. System Engineering : Applying system engineering principles to design and integrate complex systems. HVAC System Architecture : Contributing to the architecture and design of HVAC systems. Production Release : Managing the production release process, ensuring a smooth transition from development to manufacturing. Required Skills & Qualifications The ideal candidate will possess a strong foundation in mechatronics and a proven ability to solve complex engineering challenges. Specific skills and qualifications include: Analytical Skills : Demonstrated ability to analyze complex data and draw meaningful conclusions. Problem-Solving Skills : A proactive and resourceful approach to identifying and resolving technical issues. Communication Skills : Excellent written and verbal communication skills, with the ability to effectively communicate technical information to both technical and non-technical audiences. Engineering Background: A Bachelor's or Master's degree in E&TC Engineering, Mechanical Engineering, Mechatronics, or Electrical & Electronics Engineering (B.E. / B. Tech. / M. E / M. Tech). Design Proficiency: Experience with CAD Design software, specifically UG NX and CATIA . Electrical Systems : A strong understanding of electrical systems , electronic circuits , and schematics . Embedded Systems : Knowledge of embedded systems and their application in automotive systems. PCB Layouts : Familiarity with PCB layouts and component selection. Component Testing : Experience with component testing and validation. Mechanical Systems : A solid understanding of mechanical systems and their integration with electronic components. Circuit Analysis : Ability to perform circuit analysis and troubleshoot electrical issues. Hardware Interface : Experience with hardware interface design and implementation. Design For Six Sigma (DFSS) : Knowledge of Design For Six Sigma (DFSS) methodologies. Reactive Problem Solving : Demonstrated ability to effectively address and resolve issues in a timely manner. Specific Component Knowledge : Familiarity with components such as FATC , Climatic Control Unit , Manual Control Panel , Power Window Switches , Seat Switches , Sunroof Switches , Auxiliary Switches , Rain Sensor , In-Car Cabin Sensor , Thermal Components , Evaporator , Actuators , Blower Motor . Communication Protocols : Experience with CAN and LIN communication protocols. Material Science : Knowledge of Plastic Materials and Contact Materials . Process Management : Experience with BCCM and BCM . Quality Assurance : Understanding of RFQ Preparation , Homologation , and Regulation Compliance . Data Management : Experience with Team Centre and PLMM . What We Offer Salary: 6 - 9 years of experience are expected for this role, indicating a mid-to-senior level of responsibility and a proven track record of success in a similar role.

Senior Executive - SDET

RLE India Private Limited•

Pune

•full time

Job Summary We are seeking a highly skilled and experienced Senior Executive - SDET to join our team in Pune. This role is critical to ensuring the quality and reliability of our software applications, particularly within the rapidly evolving landscape of AI and automotive technologies. The ideal candidate will possess a strong analytical background, a proven ability to troubleshoot complex issues, and a passion for leveraging automation to deliver high-quality software. Key Responsibilities The Senior Executive - SDET will be responsible for a range of activities related to software testing, analysis, and quality assurance. This includes, but is not limited to, the design and execution of test plans, the identification and resolution of defects, and the continuous improvement of our testing processes. The role requires a proactive approach to problem-solving and a commitment to delivering exceptional quality. Required Skills & Qualifications Data Analysis: Demonstrated ability to analyze large datasets to identify trends, patterns, and anomalies that may impact software quality. Decision Making: Proven ability to make sound, data-driven decisions in a fast-paced environment. Scripting Language: Proficiency in scripting languages for test automation and data manipulation. Python: Strong working knowledge of Python for scripting and automation tasks. TypeScript: Experience with TypeScript for developing robust and maintainable test scripts. Logging Tool: Familiarity with various Logging Tool to analyze application behavior and identify potential issues. Issue Debug Tool: Expertise in using Issue Debug Tool to effectively diagnose and resolve software defects. Log: Ability to interpret and analyze Log files to identify root causes of issues. Software Application Diagnostic: Skilled in performing Software Application Diagnostic to pinpoint the source of errors. Software Application Analysis: Ability to conduct thorough Software Application Analysis to ensure functionality and performance. Linux Basics: Solid understanding of Linux Basics for navigating and troubleshooting environments. Vi Editor: Proficiency in using the Vi Editor for efficient code and configuration file editing. Spreadsheet: Ability to utilize Spreadsheet software for data organization and analysis. Google Docs: Comfortable using Google Docs for collaboration and documentation. Report Generation: Ability to generate comprehensive Report Generation to communicate testing results. Report Tracing: Skilled in Report Tracing to understand the flow of data and identify potential issues. Cellular Network LTE: Understanding of Cellular Network LTE protocols and their impact on software functionality. P - CSCF, I -CSCF: Knowledge of P - CSCF and I -CSCF within the context of telecommunications infrastructure. IP Networking: Strong foundation in IP Networking concepts and protocols. DHCP, DNS, Gateway, Proxy: Familiarity with DHCP , DNS , Gateway , and Proxy technologies. AI IDE: Experience with AI IDE for developing and testing AI-powered applications. AI Framework: Knowledge of various AI Framework for building and deploying machine learning models. Cursor, Claude Code: Experience with Cursor and Claude Code for AI-assisted coding and development. Tight Deadlines: Ability to thrive under Tight Deadlines and deliver results efficiently. On Time Delivery: Commitment to On Time Delivery of high-quality software. Communication Skill: Excellent Communication Skill for effectively collaborating with cross-functional teams. New Technology: Eagerness to learn and adapt to New Technology . Domain Knowledge: Strong Domain Knowledge in relevant areas such as telematics, infotainment, and embedded software. Test Framework: Proficiency in using various Test Framework for automated testing. Automation: Expertise in Automation to streamline testing processes and improve efficiency. Quality Assurance: Deep understanding of Quality Assurance principles and best practices. Validation, Verification: Ability to perform both Validation and Verification testing to ensure software meets requirements. AI, Machine Learning, Gen AI: Solid understanding of AI , Machine Learning , and Gen AI concepts. Prompt Engineering: Experience with Prompt Engineering to optimize the performance of AI models. Telematics, Infotainment, Embedded Software: Experience in testing Telematics , Infotainment , and Embedded Software systems. Automation Framework: Experience with Automation Framework for building and maintaining automated test suites. Dev: Understanding of the Dev cycle and its impact on testing. GPS, LIDAR, RADAR, V2X, ADAS: Familiarity with GPS , LIDAR , RADAR , V2X , and ADAS technologies. AI Algorithms: Knowledge of various AI Algorithms and their application in software development. Component, Modules: Ability to test individual Component and Modules within a larger software system. Experience Required: The ideal candidate will have 4 - 6 years of experience in a similar role, demonstrating a track record of success in delivering high-quality software through rigorous testing and automation. What We Offer Salary:

Software Engineer_SDET

RLE India Private Limited•

Pune

•Full-time

Software Engineer_SDET Job Description Job Summary We are seeking a skilled Software Engineer_SDET to join our team in Pune. This role will focus on ensuring the quality and reliability of our software applications through rigorous testing and automation. The ideal candidate will possess a strong analytical background and a passion for delivering high-quality software. Key Responsibilities This role requires a proactive approach to software quality assurance, encompassing validation, verification, and continuous improvement of our development processes. The Software Engineer_SDET will be responsible for identifying and resolving software defects, contributing to the development of automated test suites, and collaborating closely with development teams to ensure the delivery of robust and reliable software. Required Skills & Qualifications Data Analysis: Ability to analyze complex data sets to identify trends, patterns, and anomalies that may impact software quality. Decision Making: Demonstrated ability to make sound judgments and decisions based on data and analysis, ensuring the best course of action for software quality. Scripting Language: Proficiency in scripting languages for test automation and data manipulation. Python: Strong understanding and practical experience with Python for scripting and automation tasks. Type Script: Familiarity with Type Script for enhanced code quality and maintainability. Logging Tool: Experience utilizing Logging Tool to effectively monitor and analyze application behavior. Issue Debug Tool: Proficiency in using Issue Debug Tool to identify and resolve software defects efficiently. Log: Ability to analyze and interpret Log files to diagnose and resolve software issues. Software Application Diagnostic: Expertise in performing Software Application Diagnostic to identify root causes of software failures. Software Application Analysis: Ability to conduct thorough Software Application Analysis to assess functionality and performance. Linux Basics: Fundamental understanding of Linux operating system principles. Linux Commands: Proficiency in utilizing common Linux Commands for system administration and software development tasks. Vi Editor: Experience with the Vi Editor for efficient code editing and manipulation. Spreadsheet: Ability to utilize Spreadsheet software for data analysis and reporting. Google Docs: Familiarity with Google Docs for collaborative documentation and communication. Report Generation: Ability to generate comprehensive Report documents to communicate findings and recommendations. Report Tracing: Skill in performing Report Tracing to understand data flow and identify potential issues. Cellular Network LTE: Understanding of Cellular Network LTE protocols and technologies. P-CSCF: Knowledge of P-CSCF functionality within a cellular network architecture. I-CSCF: Understanding of I-CSCF role in inter-carrier communication. IP Networking: Solid foundation in IP Networking principles and protocols. DHCP: Familiarity with DHCP for dynamic IP address assignment. DNS: Understanding of DNS for domain name resolution. Gateway: Knowledge of Gateway functionality for network traffic management. Proxy: Understanding of Proxy servers and their role in network security and performance. AI IDE: Experience with AI IDE for enhanced code completion and assistance. Framework: Ability to work within established Framework structures for software development. Cursor: Understanding of Cursor functionality within software applications. Claude Code: Experience with Claude Code for code generation and analysis. Test Framework: Proficiency in utilizing various Test Framework for automated testing. Automation: Strong skills in Automation to streamline testing processes. Quality Assurance: Commitment to Quality Assurance best practices. Validation: Ability to perform Validation testing to ensure software meets requirements. Verification: Ability to perform Verification testing to confirm software functionality. AI: Understanding of AI principles and applications. Machine Learning: Familiarity with Machine Learning algorithms and techniques. Gen AI: Knowledge of Gen AI concepts and applications. Prompt Engineering: Ability to craft effective Prompt Engineering for AI models. Telematics: Understanding of Telematics systems and data. Infotainment: Knowledge of Infotainment systems and their integration. Embedded Software: Experience with Embedded Software development. Automation Framework: Ability to design and implement Automation Framework . Dev: Understanding of the Dev cycle and its integration with testing. GPS: Familiarity with GPS technology and its applications. LIDAR: Understanding of LIDAR technology and its applications. RADAR: Knowledge of RADAR technology and its applications. V2X: Understanding of V2X communication protocols. ADAS: Familiarity with ADAS systems and their functionality. AI Algorithms: Knowledge of various AI Algorithms . Component: Ability to work with individual Component within a larger system. Modules: Understanding of Modules and their interdependencies. Communication Skill: Excellent Communication Skill for effective collaboration. New Technology: Eagerness to learn and adapt to New Technology . Domain Knowledge: Strong Domain Knowledge in relevant areas. On Time Delivery: Demonstrated ability to meet On Time Delivery targets. Tight Deadlines: Ability to work effectively under Tight Deadlines . What We Offer Experience Required: We are seeking candidates with 4 - 6 years of relevant experience. This level of experience indicates a proven ability to independently contribute to software quality assurance efforts and mentor junior team members. Salary:

Mechatronics-DEVELOPMENT LEAD – FATC CONTROL PANEL, Sensor & SCCM & Auxiliary SWITCHES & Sensors

RLE India Private Limited•

Pune

+1 More

Other Locations1 cities

Chennai

•full time

Job Summary We are seeking a highly skilled and experienced Mechtronics-DEVELOPMENT LEAD to lead the development of FATC control panels, sensor systems, and auxiliary switches for our automotive and technology initiatives. This role requires a strong technical background, excellent leadership abilities, and a commitment to delivering high-quality products. Key Responsibilities The Development Lead will be responsible for overseeing the entire development lifecycle of assigned components, ensuring adherence to quality standards, and fostering collaboration within cross-functional teams. This includes, but is not limited to, leading design and development efforts, troubleshooting complex issues, and ensuring regulatory compliance. Required Skills & Qualifications Educational Background: A B.E. / B. Tech. / M. E / M. Tech degree in E&TC Engineering / Mechanical / Mechatronics / Electrical & Electronics engineering is required. Analytical Skills: Demonstrated ability to analyze complex technical problems and develop effective solutions. This includes a strong foundation in data interpretation and critical thinking. Problem-Solving Skills: Proven ability to identify, analyze, and resolve technical issues efficiently and effectively, utilizing a systematic approach to problem-solving. Communication Skills: Excellent written and verbal communication skills, with the ability to clearly and concisely communicate technical information to both technical and non-technical audiences. CAD Design: Proficiency in CAD Design software, including UG NX and CATIA , for creating detailed designs and models. FATC & Climatic Control Unit: Deep understanding of FATC (Functional Automotive Test Control) systems and Climatic Control Units , including their design, operation, and integration. Manual Control Panel & Switch Components: Expertise in the design and development of Manual Control Panels and various Switch Components , including Smart Switches, Toggle Switches, Touch-Sensitive Switches, Capacitive Touch Switches, Rotary/Slide Switches, Momentary Switches, Pressure-Sensitive Switches, and Foot-Pedal Switches . Vehicle EE Architecture & ECU Interaction: Strong knowledge of Vehicle EE Architecture and experience with ECU Interaction , including understanding of communication protocols. Bus Communication: Familiarity with vehicle communication networks, including CAN Bus and LIN Bus , and their application in control systems. Circuit Analysis & Hardware Interface: Solid foundation in Circuit Analysis and experience with Hardware Interface design and implementation. Design Methodologies: Experience with Design For Six Sigma (DFSS) principles and methodologies to ensure robust and reliable product designs. Product Design & CFT Convergence: Proven ability in Product Design and experience facilitating CFT Convergence (Cross-Functional Team) to ensure alignment across departments. Homologation & Regulation Compliance: Knowledge of Homologation processes and Regulation Compliance requirements for automotive products. Product Problem Solving: Ability to lead and participate in Product Problem Solving activities to identify and resolve issues effectively. PLM & Team Centre: Experience with PLM (Product Lifecycle Management) systems, specifically Team Centre , for managing product data and workflows. What We Offer Experience Required: We are seeking candidates with 5 - 10 years of relevant experience in a similar role, demonstrating a proven track record of successful product development and leadership.

CAE Sr Vehicle Integration Engineeer

SACHA Engineering•

Chennai

•full time

CAE Model Build, Multiple Attribute Modeling, Project Management Automotive Systems and Subsystems, Unibody and Body on Frame The Job entails Architecture CAE - Integration Support. In this Role the candidate is responsible for Developing and execute model build plans, manage flexible CAE architectures, and support sub-system model gathering. You will also be responsible for model quality and sign-off support, ensuring packages are ready for meshing/modeling/morphing. Knowledge of CAE model build is an advantage

Virtual Analysis Engineer Durability

RLE India Private Limited•

Pune

+1 More

Other Locations1 cities

Chennai

•full time

Job Summary We are seeking a Virtual Analysis Engineer Durability to join our team. This role will focus on durability analysis and simulation within the automotive/technology industry. The position requires onsite work. Key Responsibilities This role will involve a range of responsibilities related to virtual analysis and durability assessments. Specific duties will be determined based on the evolving needs of the team and projects. Required Skills & Qualifications Product Understanding: Demonstrated ability to understand and interpret product designs and specifications, translating them into effective analysis strategies. Linear Simulations: Proficiency in performing linear simulations to assess structural behavior under various loading conditions. Non Linear Simulations: Experience conducting non-linear simulations to account for material non-linearity and complex loading scenarios. Static Simulations: Ability to perform static simulations to determine stress distributions and structural integrity. Dynamic Simulations: Capability to conduct dynamic simulations to analyze time-dependent behavior and response to transient loads. Fatigue Software: Familiarity with fatigue analysis software for predicting component lifespan and durability. Root Cause Studies: Experience in conducting root cause studies to identify failure mechanisms and implement corrective actions. CAE Simulations: Comprehensive understanding of Computer-Aided Engineering ( CAE ) simulation methodologies. Virtual Scorecard Assessment: Ability to perform Virtual Scorecard Assessments to evaluate product performance against target criteria. Software Proficiency: Demonstrated proficiency in utilizing industry-standard CAE software, including Ansa , Nastran , Abaqus , and HyperView . Education: A B.E , B.Tech (Mechanical, Automobile, Production Engineering), M.E , or M.Tech degree is required. Experience Required We are seeking candidates with 1 - 4 years of relevant experience. This level of experience indicates a foundational understanding of analysis principles and the ability to contribute effectively to a team environment. Expectation is for a motivated individual ready to learn and grow within the role. What We Offer Salary: (No salary information provided)

Mechanical Design – CAD Modeling & Drafting

RLE India Private Limited•

Pune

•full time

Job Summary We are seeking a skilled and detail-oriented Mechanical Design professional with a focus on CAD modeling and drafting . This role will be integral to our Mechanical Design team, contributing to the development and refinement of designs for a variety of projects. The position requires an onsite presence. Key Responsibilities The Mechanical Design – CAD Modeling & Drafting role will be responsible for creating and maintaining detailed CAD models and technical drawings. This includes collaborating with stakeholders to understand design requirements and translating those requirements into accurate and manufacturable designs. The role will also involve ensuring adherence to established design standards and best practices. Required Skills & Qualifications Educational Background: A Bachelor of Engineering (BE) in Mechanical Engineering is required. CAD Modeling Proficiency: Demonstrated expertise in creating detailed CAD models using industry-standard software, specifically SolidWorks and Creo Parametric . Engineering Drafting: Strong skills in Engineering drafting , including the creation of detailed technical drawings for manufacturing and assembly. PLM Integration: Experience with PLM integration , particularly utilizing Enovia , to manage and control design data. Communication Skills: Excellent Stakeholder communication skills, with the ability to effectively communicate design concepts and technical information to both technical and non-technical audiences. Technical Expertise: A solid understanding of electrotechnical cooling principles and experience in data-center thermal management . Industry Experience: Prior experience with EV system experience is highly desirable. Experience Required: This position requires 4-6 years of relevant professional experience in mechanical design, demonstrating a proven ability to manage complex design projects and collaborate effectively within a team environment. We are seeking a candidate with a strong foundation in mechanical engineering principles and a commitment to delivering high-quality design solutions. What We Offer Salary: Not specified.

Senior Engineer_Loads Engineer

RLE India Private Limited•

Chennai

•full time

Job Summary We are seeking a highly skilled and motivated Senior Engineer to join our growing team. This role is ideal for a seasoned professional with a strong background in automotive or technology, possessing a blend of analytical expertise and practical engineering experience. The successful candidate will contribute to challenging projects, leveraging their technical skills to solve complex problems and drive innovation. Key Responsibilities While specific responsibilities will evolve with project needs, the Senior Engineer will be expected to contribute to a range of engineering tasks, demonstrating initiative and a commitment to delivering high-quality results. This includes applying engineering principles to analyze and solve problems, documenting findings clearly and concisely, and collaborating effectively with cross-functional teams. Required Skills & Qualifications Education: A PhD , M.E/ M.Tech , or B.E/ B.Tech degree in Automobile , Mechanical , or Design Engineering is required. Experience: 3-5 years of relevant professional experience is expected, demonstrating a solid foundation in engineering principles and practical application. This level of experience indicates the ability to work independently, contribute to team goals, and mentor junior engineers. Software Proficiency: Demonstrated expertise in the following software and tools: Adams/View : Proficient in utilizing Adams/View for multi-body dynamics simulation and analysis. Adams/Car : Experience with Adams/Car for vehicle dynamics simulation and modeling. Insight : Ability to leverage Insight for post-processing and visualization of simulation results. Motion View : Familiarity with Motion View for visualizing and analyzing motion data. Hypergraph : Skilled in using Hypergraph for data analysis and visualization. NASTRAN : Experience with NASTRAN for finite element analysis. MATLAB : Proficient in using MATLAB for numerical computation and simulation. Simulink : Skilled in utilizing Simulink for dynamic system modeling and simulation. Adams Command Language : Ability to use Adams Command Language for scripting and automation. Python : Programming skills in Python for data analysis and automation. Linux : Familiarity with Linux operating systems for engineering tasks. Engineering Knowledge: Strong understanding of the following engineering principles: K&C : Knowledge of Kinematics and Compliance analysis. vRLDA : Experience with virtual reality load data analysis. Durability Loads Calculations : Ability to perform durability load calculations. Vehicle Dynamics : Solid understanding of vehicle dynamics principles. Analytical & Problem-Solving Skills: Exceptional Analytical Skills and Problem-Solving Skills to identify, analyze, and resolve complex engineering challenges. Communication & Interpersonal Skills: Excellent Communication Skills , both written and verbal, to effectively communicate technical information to a variety of audiences. Organizational & Management Skills: Strong Organization and Planning skills to manage multiple tasks and prioritize effectively. Program Management experience is a plus. Documentation Skills: Ability to produce clear and concise Technical Writing for reports and documentation. Presentation Skills: Ability to deliver engaging and informative Presentations . Software Suite: Proficiency in MS Office suite, including Excel , PowerPoint , and Word . What We Offer Salary:

Virtual Analysis Engineer Safety Biomechanics

RLE India Private Limited•

Chennai

•full time

Essential: • 1-4 years of automotive CAE experience, with a focus on vehicle crashworthiness and occupant-restraint-system development. • 1-2 years of foundational hands-on experience in developing and integrating safety FE models at full-vehicle, subsystem, and component levels, including restraint systems. • Proficiency in PRIMER, ANSA, and LS-DYNA are mandatory. • Strong engineering fundamentals, including a sound understanding of classical and applied mechanics and the operation of basic restraint systems such as single-stage airbags and seatbelts with constant force retractors. • Strong logical reasoning to predict, analyze, and troubleshoot complex nonlinear crash events. . Desirable: • Exposure to Human Body Model (HBM) simulations at sled or vehicle level. • Experience with Linux scripting, Python, Jupyter Notebook, and AI tools. • Good working knowledge of metals, composite components, and failure analysis. • Understanding cross-functional performance requirements. • Experience developing design proposals and collaborating with design engineers to implement them. • Experience working with automotive OEMs in vehicle safety. Key Responsibilities & Tasks • Develop sled buck models from full-vehicle structural models and integrate restraint-system models. • Set up simulation decks with occupants for frontal or side-impact scenarios. • Perform 100ms debug simulations with minimal support. • Load multiple animations, independently complete visual assessments of results, and generate all required plots using the MetaPost OIC toolbar. • Prepare occupant-simulation reports for frontal or side-impact load cases. • Assess and refine model and result quality, ensuring all evaluations are completed on schedule to support project timelines. • Participate in design reviews and recommend improvements to occupant and restraint-system performance. • Collaborate with team members and regularly communicate project updates, findings, and lessons learned during daily virtual or in-person meetings.

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: