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 solid 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

Experience:

- DBT: 3 years (Preferred)
- AWS: 3 years (Preferred)
- Airflow : 2 years (Preferred)
- Terraform: 3 years (Preferred)
- Data engineer: 5 years (Preferred)
- Pyspark: 3 years (Preferred)

Work Location: In person

📌 AWS Data Engineer (India)
🏢 programming.com
📍 India