Requirement:-
-5+ years of experience building, testing, and deploying data engineering systems.
- Experience with at least one distributed data system, and the ability to reason about
consistency, latency, throughput, and fault tolerance.
- Strong SQL and proficiency with at least one of (py)Spark, DBT, or Airflow in production.
- Experience with Infrastructure-as-Code systems such as Terraform, AWS CDK, or
Pulumi.
- Understanding or strong interest in supply chain and the data challenges it creates.
- A self-starter who takes initiative, moves fast, and ships while collaborating on big
challenges.
- Enthusiastic about working closely with team members to develop creative solutions to
novel problems.
- Excellent written and oral communication in English.
- Tech: DBT, Databricks, (py)Spark, Airflow, Prefect, SQL, Iceberg/Delta.
- Comfortable using modern AI coding assistants (Claude Code, Cursor, Copilot, or
similar) and experienced with AI-native workflows - prompting, agentic tooling,
evaluations, retrieval - and willing to bring them into your data engineering practice.
- A plus: Demonstrated, measurable success building with LLMs, evaluating model
outputs, or integrating AI into data pipelines or internal tooling.
Pay: ₹2,500,000.00 - ₹3,000,000.00 per year
Benefits:
- Health insurance
- Provident Fund
Work Location: In person
