AWS Data Engineer

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