Key Responsibilities:

Design, build, and maintain scalable, cloud-native data pipelines using AWS. Develop ETL/ELT workflows using Glue, Pyspark , and Python Optimize data modeling, partitioning, and querying strategies Skilled in reading and developing Terraform-based infrastructure code

Qualifications :

 Bachelor's degree in computer science, Engineering 5 to 7 years of experience in data engineering. Strong expertise in cloud development, particularly with AWS services such as Aurora PostgreSQL RDS, Glue, S3, IAM, EC2, Lambda. Hands-on experience and implementing best practices with AWS Glue, Glue data catalog and pyspark Proficient in PySpark and Python and expertise in SQL. Experience in AWS Data lake, Apache Iceberg and Lake Formation. Understanding of data modelling. Strong problem-solving and communication skills. Experience working in agile, multi-project environments. Experience with CI/CD pipelines and DevOps practices.