Description
You will develop and maintain data solutions within a data-heavy environment.
Responsibilities
- Develop scalable and reliable data solutions for moving data across systems in real-time and batch modes.
- Develop automation solutions in data engineering using Agile constructs.
- Support applications by providing fixes for production defects and implementing enhancements.
- Evaluate defects, investigate root causes, and implement solutions.
- Provide production support and communicate incident resolutions clearly.
Required Skills
- 4 years’ ETL experience using SAS, SQL, Unix, Shell Scripting, DB2/Sybase, Control-M/AutoSys.
- Strong data analytical skills with complex data sources, including databases and text files.
- Hands-on experience with SAS, SQL, Unix, Shell Scripting, DB2/Sybase, and Control-M/AutoSys.
- 2-4 years of experience delivering solutions using the Software Development Life Cycle.
- Bachelor’s degree in Computer Science or equivalent working experience.
- 5+ years of overall working experience.
Preferred Skills
- Experience with Python, Java, DataStage, and AWS.