AWS Redshift Data Engineer 4+ Years

Location: Gurgaon

Experience: 4+ Years

Work Mode: Hybrid

Joining: Immediate

Key Responsibilities
Design, develop, and maintain scalable ETL/ELT data pipelines on AWS.
Work extensively with Amazon Redshift for data warehousing, loading, transformation, and query optimization.
Develop data pipelines using AWS Glue, S3, Lambda, and Athena.
Write complex and optimized SQL queries for large datasets.
Use Python/PySpark for data processing, automation, and transformation.
Implement data ingestion from databases, APIs, files, and other sources.
Perform data modeling, schema design, data validation, and quality checks.
Monitor, troubleshoot, and optimize pipeline performance and AWS resource usage.




Work with Airflow or AWS Step Functions for workflow orchestration.
Follow best practices for Git, CI/CD, security, and data governance.

Must-Have Skills
4+ years of experience in Data Engineering.
Robust hands-on experience with AWS Redshift.
Robust SQL and Python skills.
Experience with AWS Glue, S3, Lambda, and Athena.
Hands-on experience in ETL/ELT and data warehousing.
Positive understanding of data modeling and performance tuning.
Experience with PySpark/Spark is preferred.
Knowledge of Airflow, Git, and CI/CD is an advantage.

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