Job Title: Automotive Data Engineering Tester
Location: Lewisville TX.
Onsite/ Remote: Day 1 Onsite at customer location
The pay range for this role is $90k- $115k per annum including any bonuses or variable pay. Tech Mahindra also offers benefits like medical, vision, dental, life, disability insurance and paid time off (including holidays, parental leave, and sick leave, as required by law). Ask our recruiters for more details on our Benefits package. The exact offer terms will depend on the skill level, educational qualifications, experience, and location of the candidate.
Open for C2H : $60/hr to $$65/hr
KEY RESPONSIBILITIES :
Validate end-to-end vehicle-to-cloud data pipelines across ingestion, processing, storage and consumption layers.
Perform source-to-target validation for ETL and ELT workflows, including mappings, transformation rules, reconciliation and exception handling.
Test batch and near-real-time processing for accuracy, completeness, sequencing, duplication, latency and data loss.
Validate Connected Vehicle and telematics datasets such as vehicle health, GPS/location, fuel consumption, driver behaviour, diagnostic trouble codes, powertrain, EV battery and OTA campaign data.
Test REST APIs, microservices and integrations between vehicle systems, telematics platforms, cloud services, enterprise applications and analytics solutions.
Validate Kafka topics, producers, consumers, connectors and event-streaming workflows.
Develop reusable automated data-validation scripts and utilities using Python and SQL.
Execute functional, integration, regression, data migration, database and production-readiness testing.
Prepare test strategy, test plans, test cases, test data, traceability, defect reports and test completion reports.
Participate in Agile ceremonies, release planning, defect triage, root-cause analysis and continuous quality improvement.
REQUIRED SKILLS AND EXPERIENCE
4-8 years of experience in data testing, ETL testing, data engineering testing or quality engineering.
Strong hands-on SQL skills, including complex queries, joins, reconciliation and database validation.
Experience testing ETL/ELT pipelines, data warehouses, data lakes and high-volume data platforms.
Working knowledge of Python and a test automation framework such as PyTest.
Experience with REST API testing using Postman or equivalent tools.
Knowledge of Kafka or a comparable event-streaming platform.
Experience with relational databases such as PostgreSQL, SQL Server or MySQL.
Exposure to AWS, Microsoft Azure or Google Cloud Platform.
Understanding of data-quality dimensions including accuracy, completeness, consistency, uniqueness, validity and timeliness.
Experience working in Agile/Scrum and DevOps delivery environments. AUTOMOTIVE
DOMAIN KNOWLEDGE
Automotive Data Engineering Tester | HR-Ready Job Description JOB DESCRIPTION |
AUTOMOTIVE & CONNECTED VEHICLE
Connected Vehicle and telematics platforms
Vehicle-to-cloud data flows and vehicle signal data
Vehicle diagnostics and Diagnostic Trouble Codes (DTCs)
Over-the-Air (OTA) software and firmware updates
CAN / CAN-FD and UDS diagnostics
Fleet management and commercial or passenger vehicle platforms
Software Defined Vehicle concepts
PREFERRED TECHNICAL SKILLS
Snowflake and Databricks
GitHub and GitHub Actions
AWS S3, Lambda, Glue and IAM
CI/CD and DevOps tooling
Azure Data Factory or equivalent
Power BI or Tableau validation
MongoDB or another NoSQL database
Performance testing of data pipelines
EDUCATION AND CERTIFICATIONS
Bachelor's degree in Computer Science, Information Technology, Data Engineering, Electronics, Automotive Engineering or a related discipline.
ISTQB certification is preferred.
AWS, Azure, GCP, Snowflake or Databricks certification is an advantage.
KEY COMPETENCIES
Analytical thinking and structured problem solving
Attention to detail and a strong data-quality mindset
Debugging, defect triage and root-cause analysis
Ownership of test deliverables and quality outcomes
Clear communication and effective cross-functional collaboration GOOD TO HAVE
Experience with automotive OEMs, Tier-1 suppliers or commercial vehicle organisations.
Exposure to Digital Twin, AI/ML data validation or Software Defined Vehicle programmes.
Awareness of ISO/SAE 21434, UNECE R155 and UNECE R156.
Experience testing high-volume, real-time vehicle data platforms.
"Tech Mahindra is an Equal Employment Opportunity employer. We promote and support a diverse workforce at all levels of the company. All qualified applicants will receive consideration for employment without regard to race, religion, color, sex, age, national origin, or disability. All applicants will be evaluated solely based on their ability, competence, and performance of the essential functions of their positions with or without reasonable accommodations. Reasonable accommodations also are available in the hiring process for applicants with disabilities. Candidates can request a reasonable accommodation by contacting the company ADA Coordinator at ADA_Accomodations@TechMahindra.com ."
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