Description

You will build and manage scalable data pipelines and cloud-based data architectures on AWS.

Responsibilities

• Build scalable data pipelines using AWS Glue, EMR, and Lambda.
• Design and optimize data lakes using S3 and Delta Lake alongside Redshift and Athena warehouses.
• Implement database solutions using Aurora, RDS, and DynamoDB.
• Develop serverless workflows using Step Functions.
• Write clean, production-ready code in Python, PySpark, and SQL.
• Maintain data security, quality, and compliance standards.

Required Skills

• 7+ years of experience in data engineering.
• Strong expertise in AWS services including Glue, EMR, Lambda, Redshift, S3, and DynamoDB.
• Hands-on experience with Big Data technologies such as Hadoop, Spark, and Delta Lake.
• Proficiency in Python, PySpark, and SQL/PostgreSQL.
• Proven experience in ETL, Data Warehousing, and Cloud Architecture.
• Degree in any graduate field.

Key Skills

Education

Any Gradute