Key Responsibilities

- Design, develop, and optimize scalable data pipelines and ETL workflows.
- Build and maintain cloud-based data solutions on AWS.
- Develop complex SQL queries for data transformations, aggregations, analytics, and performance optimization.
- Leverage Python for data engineering, automation, orchestration, and solution development.
- Lead technical initiatives and mentor team members.
- Collaborate with cross-functional teams to deliver data-driven solutions.
- Implement best practices for data quality, governance, and performance.

Required Skills SQL & Python (Mandatory)

- Solid SQL expertise.
- Experience writing complex queries involving transformations, aggregations, and performance tuning.
- Strong Python programming skills for Data Engineering use cases.
- Experience in automation, orchestration,



and data solution development.

AWS Data Engineering Hands-on experience with:

- Amazon S3
- AWS Glue
- Amazon Athena
- Amazon Redshift

Big Data Technologies

- PySpark
- Spark-based processing
- Databricks

Leadership Experience

- Individual Contributor (Primary Role)
- Team Management / Team Lead experience preferred

Additional Skills

- DevOps and Platform Engineering exposure

Educational Qualification

- B.E. / B.Tech / M.E. / M.Tech / MCA / B.Sc. / M.Sc. (IT/CS)

Soft Skills

- Excellent communication and stakeholder management skills.
- Strong analytical and problem-solving abilities.

📌 Aws Data Engineer (Gurugram)
🏢 AMS
📍 Gurugram