ETL Data Stage Specialist

Key Responsibilities:

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.
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.

Key Requirements and Technology Experience:

Bachelor’s degree in Computer Science or Engineering or equivalent working experience.
4-6 years of experience in delivering solutions using Software Development Life Cycle.
4-6 years’ ETL experience using DataStage, Unix, SQL and Control-M.
Strong data analytical skills using complex data sources including databases and text data files.
Data Engineering solution delivery using SAS, AWS (S3, Glue, Athena, EMR, PySpark, Data lake), Python, Snowflake, Dev Ops and CI/CD tools.
Knowledge and experience working with Informatica.
Knowledge and experience working with Java.