Position: Data Engineer
Category: Data Engineer
English level: intermediate
Years of experience: 4


Stack: Apache NiFi, IBM DataStage, SQL (PostgreSQL, Sybase IQ/ASE, Oracle, MSSQL), MinIO, AWS S3, Docker, Kafka, Linux, Trino (Presto), Apache Airflow, Python, PySpark, Hadoop, Hive, SSIS, Microsoft Office (Excel, PowerPoint, Access).

As Data Engineer (2+ y of exp):
Development of new ETL/ELT pipelines: uploading terabytes of data to DWH and Data Lake.
Development of data marts, procedures, functions.
Migration of existing ETL/ELT pipelines from to open source solution: code refactoring, performance improvement and optimization.
Development of core flows, which decreased the time to build similar ETL/ELT pipelines for uploading to Data Lake and DWH.
Performing PoCs and implementation of new tools & environments.

As Data Analyst (2+ y of exp):
Aggregation of the credit portfolio data from different systems.
Development and maintenance of credit portfolio data marts.
Analysis and dividing of credit portfolio by different segments.
Analysis of credit portfolio collateral property.
Calculating loans priority considering the loan segments, making of a distribution of credit portfolio among the collectors.
Building and automation regulatory and business reports, creating presentations.
Forming portfolios to provide Debt Sale deals, making portfolio applications for the Credit Committee.
Ensuring data quality.
I like complex and varied tasks and I'm sure that this is the most effective way to develop professionally and achieve success in getting new skills and learning new tools. I believe that I will be useful and able to use my existing and future knowledge in data engineering in projects that socially matter.