Description

Design and build data pipelines using AWS cloud solutions.

Responsibilities

• Develop and maintain ETL processes using AWS Glue.
• Build scalable data processing applications with Spark and PySpark.
• Implement and manage AWS storage models using S3 and DynamoDB.
• Integrate on-premises ETL tooling with cloud-based workflows.

Required Skills

• 10+ years of experience in data engineering or software development.
• Proficiency in Spark and PySpark for distributed data processing.
• Hands-on experience with AWS Glue for ETL development.
• Experience managing data in S3 and DynamoDB.
• Practical knowledge of AWS cloud ecosystem and services.
• Experience with on-premises ETL tools such as Ab Initio or Informatica.
• Bachelor's degree or equivalent experience.

Key Skills

Education

Any Graduate