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.

- Strong hands-on experience with AWS Redshift.

- Strong 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.

📌 AWS Data Engineer-Gurgaon (Delhi)
🏢 Kezan consulting
📍 Delhi