Description

You will develop and maintain scalable data solutions for real-time and batch processing in a data-heavy environment.

This role is hybrid.

Responsibilities

• Develop and maintain automated data engineering solutions using Agile methodologies.
• Build scalable pipelines to move data across systems in real-time and batch modes.
• Investigate root causes of production defects, implement fixes, and drive enhancements.
• Provide production support and communicate incident resolutions clearly to stakeholders.

Required Skills

• 5+ years of overall working experience with 4+ years in ETL.
• Strong hands-on experience with SAS, SQL, Unix, and Shell Scripting.
• Proficiency with DB2/Sybase databases and Control-M/AutoSys job scheduling.
• Experience delivering solutions using the Software Development Life Cycle (2-4 years).
• Ability to analyze complex data sources, including databases and text files.
• Bachelor’s degree in Computer Science or equivalent working experience.

Preferred Skills

• Experience with Python, Java, DataStage, and AWS.

Key Skills

Education

Bachelor’s degree in Computer Science