Data Validation Engineer – Automotive Industry

1 week ago

Gurgaon, Haryana, India Talent Integrators Full time ₹ 12,00,000 - ₹ 24,00,000 per year

Job Title:
Data Validation Engineer – Automotive Industry

Location:
Gurgaon

Type:
Full-Time

Experience 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 & Background

General 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
  • Concerto

Soft 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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