Position: Data Engineer
Category: Data Engineer
English level: upper
Years of experience: 3


Participated in daily meetings with the team, in grooming and planning meetings to organize work. Worked with Agile methodology (Scrum).
Created complex queries and store procedures with SQL.
Created models for ETL work using dbt.
Created datawarehouses, users and databases for different environments in Snowflake using Terraform (Go programming language).
Created Airflow DAGs using Python and with created DAG builders, and set up parameters for the DAGs.
Done data migration between different cloud storages and raw sources with using ETL pipelines and manual scripts.
Worked on the collecting requirements with analyzing.
worked with the No-SQL databases, and created structured tables from them, the tables were updating(dynamic).
Created ETL pipelines(Azure Data Factory/AWS Glue/Airbyte), SSIS packages to deal with ETL jobs.
Created different reports, dashboards and other BI solutions with using Power BI/Tableau/Looker.
Created different paginated reports with using SSRS/ Power BI Report Builder