Data Engineer

YOUR WORK ENVIRONMENT

At MAN India, we offer a state-of-the-art and modern work space. Our engineers work on the latest and advanced technologies in the automotive world with the latest hardware and software. We offer a conducive ecosystem for our engineers to learn and perform. Furthermore, the office space includes a spacious cafeteria, breakout areas, recreational facilities as well as space for conferences and meetings.

JOB PURPOSE/ROLE

As a member of our team you will have the following tasks:

Prepare, transform and validate structured and semi-structured data. Support reliable, documented datasets for reporting, analytics and AI use cases.

• Prepare, transform and validate structured and semi-structured data.
• Support reliable, documented datasets for reporting, analytics and AI use cases.
• Develop and maintain ETL/ELT jobs using Python, SQL and introductory PySpark.
• Experienced towards self-developing as AI-Forward Deployed Engineer (AI-FDE).
• Ingest data to S3 and support Glue/Athena based processing.
• Apply data-quality checks, reconciliation and basic observability.
• Create clear technical documentation, data definitions and runbooks.
• Troubleshoot pipeline failures and complete fixes within team standards.
• Use GitLab CI and peer review for controlled delivery.

AI & Data Science Enablement:

• Prepare clean, feature-ready datasets for data science teams.
• Support model training, experimentation and batch-scoring data flows.
• Apply responsible handling of sensitive data, metadata and lineage for AI datasets.

Delivery& Collaboration:

• Translate business and analytics needs into reliable, reusable data products.
• Apply Git-based development, CI/CD, testing, documentation and operational monitoring.
• Partner with analysts, data scientists, platform teams and business stakeholders.

Success Indicators:

• Trusted datasets delivered with measurable quality, lineage and service reliability.
• Faster analytics and AI use-case delivery through reusable, governed data assets.
• Secure, cost-aware and maintainable solutions aligned with platform standards.

YOUR QUALIFICATIONS

Must Have

• Experience:  2 to 4 years 
• Qualification B.E./B.Tech/ M. Tech with relevant experience 
• Working knowledge of Python, SQL and data modeling fundamentals.
• Basic understanding of Spark/PySpark and distributed data processing.
• Awareness of AWS S3, Glue, Athena, Lambda and IAM.
• Understanding of Data Lake, Data Warehouse and relational/RDS concepts.
• Exposure to Apache Iceberg, Hive or Lake Formation is beneficial.

Software Skills

• Infrastructure: AWS CDK, Terraform, CloudFormation. AWS Services: SQS, SNS, EventBridge, Step Functions. Domain: Automotive, Vehicle, Fleet & Telemetry data exposure.

Good to have

• Automotive domain exposure, especially vehicle, fleet or telemetry data. Infrastructure as Code using AWS CDK, Terraform, CloudFormation or equivalent. Event-driven services such as SQS, SNS, EventBridge and Step Function