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:

Build scalable, production-grade data pipelines aligned to business and analytics requirements. Convert complex source data into trusted, ready-to-use data products. 

• Design and operate ETL/ELT pipelines using Python, PySpark and advanced SQL.
• Experienced towards self-developing as AI-Forward Deployed Engineer (AI-FDE).
• Process large datasets and optimize Spark jobs, storage layouts and query performance.
• Implement AWS solutions using S3, Glue, Athena, Lambda and IAM.
• Build automated tests, monitoring, alerting and recovery mechanisms.
• Drive CI/CD through GitLab CI and reusable deployment patterns.
• Own data quality, schema evolution, lineage and operational documentation.

AI & Data Science Enablement

• Engineer reusable feature and curated datasets for ML and advanced analytics.
• Operationalize training, inference and model-monitoring data flows with data science/MLOps teams.
• Implement data drift, freshness and quality signals that protect AI solution reliability.

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:  4 to 6 years 
• Qualification B.E./B.Tech/ M. Tech with relevant experience 
• Strong production-grade Python, PySpark/Spark and complex SQL capability.
• Hands-on delivery in big-data environments, ideally TB-scale.
• Proven experience building and operating resilient ETL/ELT pipelines.
• Working knowledge of Data Lake, Data Warehouse and RDS architectures.
• Hands-on experience with Apache Iceberg, Hive and AWS Lake Formation.
• Practical security, access-control and cost-optimization awareness.

Software Skills

• Python, PySpark, SQL, AWS: S3, Glue, Athena, Lambda, IAM, CI/CD: GitLab CI, Git.

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 Functions.