Description

Build and maintain scalable data infrastructure and pipelines on AWS.

This role is hybrid.

Responsibilities

• Design, develop, and maintain scalable data pipelines and ETL workflows using AWS services.
• Implement data integration solutions and manage large datasets efficiently.
• Optimize SQL queries and ensure data quality, security, and compliance across systems.
• Collaborate with cross-functional teams to deliver robust data products.

Required Skills

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

Key Skills

Education

Any Gradute