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.
Solid 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.
Robust analytical and problem-solving abilities.

📌 Aws Data Engineer Mumbai (India)
🏢 AMS
📍 India