Description

You will design, develop, and maintain scalable data pipelines on AWS.

This role is hybrid.

Responsibilities

• Implement ETL workflows and data integration solutions using AWS services.
• Optimize SQL queries and manage large datasets efficiently.
• Ensure data quality, security, and compliance across systems.
• Collaborate with cross-functional teams to deliver high-quality data products.

Required Skills

• 3–10 years of experience in data engineering or software development.
• Strong hands-on expertise in Python and Java for data processing.
• Proficiency in SQL for working with large datasets.
• Experience with core AWS services: Redshift, Glue, EMR, Lambda, S3, Kinesis, Athena.
• Familiarity with workflow orchestration tools like Airflow or Step Functions.
• Experience with big data frameworks such as Spark or Hadoop.
• Strong problem-solving and communication skills.

Key Skills

Education

Any Gradute