Position: Senior Data Engineer
Category: Data Engineer
English level: upper
Years of experience: 4


Development, implementation and maintenance of models for evaluating credit risk
Aggregation of the data from different systems, development and maintenance of data marts, ensuring data quality  and reconciliation, regulatory and business reporting.
Migration of ETL(ELT) pipelines to open source: performing PoCs of new tools & environments, learning new tools, performing MVPs, defining rules and approaches, migration and development of pipelines using new tools.
DWH (Sybase IQ) & Data Lakehouse (AWS S3, AWS Glue, AWS Lake Fomartion) building: rules, formats, governance, ingestion.
Leading a migration of On-Premise processes to Cloud solutions: helping stakeholders with onboarding to cloud; gathering of requirements and dependencies; data modeling; construction of a migration plan.

Stack: AWS, S3, Athena, Glue, Lake Formation, SQL, Python, NiFi, Spark, Airflow, Docker, Linux, Java.
I am a competitive person, so I love challenges, learning, all kinds of games (sports, computer, board), math and especially data. There is always a way to do more or better with data. And that's why I'm here to improve my skills and put them into good use in projects that socially matter.