Data Analyst (Hybrid)

Functions:
Develop ETL jobs.
Enhance an ETL job applying best practices and the spark configuration balancing.
Conversion and migration of jobs from one platform to another big data platform.
Integration of a job from its ingested source transforming it into various targets like databases, extracts files, and use cases of a streaming platform.
Keep technology trends about big data ETL as much as possible.
Troubleshooting, testing, and pre-implementing ETL's data mapping.
Generate reports, create dashboards for analysis.
Reports rationalization (including data mapping, identification of data sources, and alignment on what table sources to use).
Business user discussion on the proposed rationalized dashboards.
Improve efficiency and productivity through process simplification, automation, and democratization of data.
Promo post-mortem analyses to determine the success of products launched.
Support the big data issues encountered on enterprise data systems and frameworks.
Qualifications:
Bachelor's degree in information Technology, Computer Science or any related course.
At least 3 years experience on data analysis, designing and report development.
Experiences with visualization on PowerBI, Lookr, and Tableau.
Experience on SQL.