About the role
About the role -
We are looking for a passionate and driven Data Engineer to join our team. You will be instrumental in building scalable data pipelines, generating powerful insights, and supporting our AI/ML initiatives. If you enjoy working across data engineering and analytics and want to help shape the future of Agentic AI, we'd love to hear from you!
🏆 Responsibilities- Design, build and manage robust data pipelines for collecting, transforming and modeling data within our Databricks data lake - dbt is your primary tool, not an afterthought
- Own the dbt layer end to end - models, sources, tests, macros, incremental strategies and documentation. If it touches transformation, it goes through dbt and you're accountable for it being clean, tested and re-runnable
- Turn raw, messy data into reliable, well-modeled assets that downstream teams can actually trust - no untested models, no undocumented logic, no shortcuts
- Collaborate closely with cross-functional teams to deliver actionable insights that drive product, AI and business decisions - translating business logic into dbt models that are built to last
- Support AI and ML initiatives by ensuring clean, validated and well-structured data is always available when the models need it
- Identify and fix performance bottlenecks in dbt models, Databricks queries and downstream reporting pipelines
- 2-3 years of hands-on experience in data engineering - you've built things in production, not just in notebooks
- Strong SQL - you can write and reason about complex joins, aggregations and window functions, and you know why a query is slow before you tune it
- Python for data engineering with production-grade PySpark or Spark SQL experience. Databricks strongly preferred
- Dimensional modeling - star schemas, fact vs dimension grain, SCD Type 2, and incremental loads you can confidently re-run without breaking things
- dbt as your transformation framework of choice - models, tests, sources and incremental strategies are second nature to you
- AWS hands-on experience across Lambda, S3, CloudFront, SQS and beyond
- AI-native workflow - we ship with Claude Code and Cursor and we expect you to use them well, not just know they exist
- Sharp problem solving - you find the right balance between getting it right and getting it done, and communicate clearly when tradeoffs are being made
- Self-driven and curious - you thrive in fast paced environments, pick things up quickly and keep an eye on what's emerging in the data ecosystem
- Bonus - Foundational knowledge in ML/AI fundamentals
Mode of Work - In-Office (Koramangala,Bengaluru)
⚙️ Our Tech Stack- Products built using Python, Cursor, Claude, dbt, Airflow
- Databases such as MongoDB, PostgreSQL, Redis, Databricks,
- Deployments on EKS, EC2, Lambda and other AWS services
Health insurance for you and your family, meals at office on us, travel reimbursement, unlimited leaves, subsidized gym membership, unlimited learning & development, flexible work schedule and a world-class team to learn and grow with!