Data Validation Engineer – Automotive Industry

2 days ago

Gandhinagar, India Talent Integrators Full time

Job Title: Data Validation Engineer – Automotive IndustryLocation: GurgaonType: Full-TimeExperience Level:- 1 Senior Engineer (4+ years)Job Description:We are looking for skilled Data Preparation, Validation & Analysis Engineers with strong fundamentals in automotive systems, measurement technologies, data acquisition, and test environments. You will work closely with cross-functional teams to process, validate, and interpret large volumes of data from engine, battery, fuel-cell, and chassis dynamometer testbeds and ensure high-quality inputs for requirement engineering, calibration, and development teams.Key Responsibilities:- Perform signal interpretation, time-series analysis, and data validation activities.- Work with data from automotive propulsion systems (combustion, battery-electric, and fuel cells).- Understand and analyze data from engine, battery, fuel-cell, and chassis dynamometer testbeds.- Support data acquisition, processing, and validation from measurement devices and automation systems.- Utilize tools like INCA, Xion, CANalyzer for measurement and analysis.- Work with automation systems such as PUMA, iGEM, supporting test execution and data capture.- Validate measurement equipment functionality (dyno systems, flow meters, emissions devices, electrical sensors, etc.).- Perform standard engineering calculations (power, emissions, efficiencies, etc.).- Prepare datasets and structured information for requirement derivation and downstream engineering.- Collaborate with requirement, calibration, test, and development teams to ensure completeness and accuracy of data.- Support reporting and dashboarding using tools such as Grafana, PowerBI, and OpenSearch.- Document analysis methods, validation logs, data issues, and requirement inputs clearly.- Maintain consistency and quality in datasets across testing cycles and programs.Required Skills & BackgroundGeneral Knowledge- Strong understanding of signal interpretation and time-series data analysis.- Knowledge of propulsion systems (ICE, battery-electric, fuel-cell).- Familiarity with automotive test environments and testbed setups.- Understanding of data acquisition & measurement systems (INCA, Xion, CANalyzer).- Experience with automation platforms: PUMA, iGEM.- Knowledge of measurement equipment and working principles (dyno, flow meters, emission analyzers).- Ability to perform basic engineering calculations related to power, emissions, etc.Languages- Python- PySpark- SQL- JSON (DB query / data extraction)Tools & Frameworks- Grafana- PowerBI- Rancher Desktop- OpenSearch- Confluence, Jira- ConcertoSoft Skills- Strong analytical and problem-solving abilities.- Ability to work independently and handle multiple datasets and tasks.- Good communication skills for cross-team coordination.- Quick learner with adaptability to new tools and systems.Requirements- Experience in automotive data processing, measurement systems, or test engineering.- Hands-on exposure to Python scripting for data processing.- Basic understanding of automotive testing workflows and measurement principles.- Familiarity with dashboards, monitoring tools, and reporting frameworks.

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