Description

You will design, implement, and optimize backend ETL services for a large-scale enterprise data solution.

Responsibilities

• Design and deploy backend ETL services and maintain standards for ETL code and project lifecycles.
• Analyze complex data systems to provide efficient technical solutions and functional specifications.
• Coordinate with architects, platform engineers, and product owners to build data processing procedures.
• Perform root cause analysis on production issues and monitor databases and ETL environments.
• Provide technical advice, effort estimates, and impact analysis for data projects.

Required Skills

• 6+ years of experience using ETL tools for data cleansing, profiling, transforming, and workflow scheduling.
• Expert proficiency in writing, debugging, and optimizing SQL.
• 3-4 years of programming experience using Python or PySpark/Glue.
• 3-4 years of experience with AWS services including Glue, S3, Redshift, Lambda, Step Functions, RDS Aurora/MySQL, Apache Iceberg, CloudWatch, SNS, SQS, and EventBridge.
• Strong understanding of design patterns, models, and architecture used in Big Data processing.
• Ability to troubleshoot database issues and familiarity with observability tools.
• Bachelor's degree or equivalent graduate education.

Key Skills

Education

Any Gradute