Description

Build and maintain data pipelines in a commercial environment. Translate business requirements into technical designs and execute ETL workflows.

Responsibilities

• Gather requirements from business users to define technical approaches.
• Produce high-level and low-level technical design documents.
• Develop and suggest efficient code logic for data processing.
• Execute ETL, data warehousing, and testing workflows.
• Support team members to ensure timely delivery of project milestones.

Required Skills

• 10+ years of overall professional experience.
• 3+ years of hands-on experience with PySpark.
• Proven experience in ETL and Data Warehousing.
• Experience with AWS services, specifically Glue, Athena, and S3.
• Ability to translate business needs into technical design documents.
• Strong background in data testing and validation.
• Bachelor's degree in any field.

Key Skills

Education

Any Gradute