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Job Description & How to Apply Below
Location:
India (Any Location)
Employment Type:
Full-Time
About the Role
We are seeking an experienced AWS Data Engineer to design and build scalable data pipelines and data platforms on AWS, supporting analytics and reporting needs.
Key Responsibilities
Build and maintain ETL/ELT pipelines using AWS Glue
Develop and optimize SQL queries & data models in Redshift
Work with DynamoDB and large-scale datasets
Implement data ingestion pipelines (APIs, DBs, files, streaming)
Manage data lakes on Amazon S3
Ensure data quality, security, and governance
Monitor and troubleshoot data pipelines
Collaborate with data and application teams
Required Skills
✅ Strong experience with AWS (Glue, Redshift, DynamoDB, S3)
✅ Expertise in SQL & query optimization
✅ Experience in ETL/ELT pipeline development
✅ Knowledge of data modeling & data warehousing
✅ Programming in Python or Py Spark
Good to Have
AWS Lambda, IAM roles
Apache Spark / Databricks
Airflow or workflow orchestration tools
Data lake architecture, Athena/EMR
CI/CD for data pipelines
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