Description

You will design and implement data integration solutions for real-time and batch processing. You own scalable data pipelines that move data across systems from multiple sources.

Responsibilities

• Build automation and engineering solutions using Agile methodologies.
• Support applications by fixing production defects and implementing enhancements.
• Investigate root causes of defects and deploy technical solutions.
• Provide production support and communicate incident resolutions clearly.

Required Skills

• 4+ years of ETL experience using DataStage.
• 4+ years of experience with Unix, SQL, and Control-M.
• Experience delivering solutions through the full Software Development Life Cycle.
• Proficiency in analyzing complex data sources, including databases and text files.
• Bachelor’s degree in Computer Science, Engineering, or equivalent work experience.

Preferred Skills

• Data engineering experience with SAS, AWS (S3, Glue, Athena, EMR, PySpark), Python, or Snowflake.
• Familiarity with Dev Ops, CI/CD tools, Informatica, or Java.

Key Skills

Education

Any Graduate