Description

You will re-engineer mainframe batch jobs into cloud-native ETL batch processes using AWS Glue.

Responsibilities

• Design Glue jobs, coding to standards, and performing end-to-end testing to meet requirements.
• Implement solutions using Glue ETL PySpark jobs, SQL queries, Lambda, Step Functions, and REST API calls.
• Coordinate infrastructure and service needs by collaborating with architecture and infrastructure teams.
• Document design specifications and contribute to the implementation plan, reviewing designs with the architecture team.
• Develop and integrate custom software solutions leveraging automated deployment technologies.

Required Skills

• 8-12 years of prior relevant experience with a Bachelor's degree or 6-10 years with a Master's degree.
• Strong experience in ETL-based development within the software development lifecycle.
• Working experience with Amazon Web Services (AWS), primarily AWS Glue Studio.
• Proficiency in PySpark and Python.
• Experience working with relational databases, specifically PostgreSQL.
• Familiarity with version control systems like CodeCommit, CodeBuild, and CodePipeline.
• Experience using issue tracking systems, such as Jira.
• Experience in a fast-paced development environment with a drive to completion.

Key Skills

Education

Any Gradute