Description

Job Description:
Must Haves: DataStage, Unix, SQL and Control-M. Preferred: SAS, AWS, Python, & Java

Responsibilities include the following.
• Develop scalable and reliable data solutions to move data across systems from multiple sources in real time as well as batch modes
• Develop innovative and automation solutions in the areas of data engineering including technology implementations using Agile construct
• Support applications, including providing fixes to production defects and making enhancements
• Quickly evaluate defects, investigate causes and come up with solutions to address defects
• Provide production support and providing clear communication on the resolution of incidents
Qualifications:
• Bachelor’s degree in Computer Science or Engineering or equivalent working experience
• 4+ years of experience in delivering solutions using Software Development Life Cycle
• 4+ years’ ETL experience using DataStage, Unix, SQL and Control-M
• Strong data analytical skills using complex data sources including databases and text data files
Optional Skills:
o Data Engineering solution delivery using SAS, AWS (S3, Glue, Athena, EMR, PySpark, Data lake), Python, Snowflake, Dev Ops and CI/CD tools
o Knowledge and experience working with Informatica
o Knowledge and experience working with Java
Keys to Success in this Role:
• Ability to work effectively and productively in a team or independently
• Technology-first mindset, outstanding analytical skills and drive for innovation
• Willingness to try new things, fail fast and learn fast.

Education

Any Graduate