Description

You will design, build, and maintain data systems that extract, load, and transform data from multiple sources.

Responsibilities

• Lead the design, implementation, and optimization of backend ETL services.
• Support large-scale enterprise data solutions using AWS data and analytics services.
• Coordinate with architects, platform engineers, and product owners to build data processing procedures.
• Perform root cause analysis on production issues and monitor databases to support ETL environments.
• Develop and maintain ETL code standards and technical designs within an automated environment.

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.
• Knowledge of design patterns, models, and architecture used in Big Data processing.
• Ability to troubleshoot database issues and familiarity with observability tools.
• Any Graduate degree.

Key Skills

Education

Any Graduate