AWS Data Engineer (Glue, Redshift, Iceberg) | HYD

Role: AWS Data Engineer (Glue, Redshift, Iceberg)

Location: Hyderabad

Experience: 6 to 15 years

Face to Face Interview

Immediate Joiners Only

Job description:

Key Responsibilities:

• Design and develop ETL/ELT pipelines using AWS Glue and PySpark
• Develop serverless data workflows using AWS Lambda
• Work with Amazon S3 for data lake storage and management
• Design and optimize data models in Amazon Redshift
• Implement and manage table formats using Apache Iceberg
• Write optimized queries using SQL
• Ensure data quality, performance tuning, and pipeline monitoring
• Collaborate with analytics and business teams for data requirements

Required Skills:

• Strong experience in Python, PySpark, and SQL
• Hands-on experience with AWS (Glue, Redshift, Lambda, S3)
• Experience working with Apache Iceberg tables
• Knowledge of data warehousing concepts and data lake architecture
• Good understanding of performance optimization and partitioning strategies