Data Engineer - AWS/ETL/Python

Description :

About the Role :

We are hiring an experienced Data Engineer to design and maintain scalable data pipelines and architectures. Youll play a key role in building robust data infrastructure to support analytics, ML models, and business insights.

Key Responsibilities :

- Build, optimize, and maintain ETL pipelines for large-scale data ingestion and transformation.

- Design scalable data architectures using AWS (S3, Glue, Redshift, Lambda, EMR).

- Develop automation scripts using Python / PySpark.

- Collaborate with data scientists and analysts to ensure high-quality data availability.

- Implement data governance, monitoring, and quality checks.

- Tune SQL queries and manage large datasets efficiently.

Technical Skills Required :

- Strong experience in Python, SQL, and ETL tools.

- Hands-on with AWS data stack : S3, Redshift, Glue, Lambda, EMR, Athena.

- Experience with Apache Airflow / Spark / Kafka preferred.

- Familiarity with data warehousing and modeling concepts.

- Strong understanding of version control (Git) and CI/CD pipelines.

Qualifications :

- B.Tech / M.Tech / MCA in Computer Science, IT, or related discipline.

- 4 - 8 years of relevant experience in data engineering.

What We Offer :

- Opportunity to work on large-scale distributed data systems.

- Collaborative environment with cross-functional exposure.

- Great learning curve and market-leading compensation