Data Analytics Engineering
- Strong knowledge of SQL, PL/SQL, PostgreSQL , Microsoft SQL Server- Experience in constructing DWH both 3NF and Star / Snowflake (cleansing and normalizing source data, transformation and loading with PL/SQL procedures)- Experience in BI Tools: MS Power BI- Development of multifunctional dashboards using various data sources, editing dashboards and issuing rights to view and edit using MS Power BI- Novice skills in database migrations using AWS- Experience in test documents creation (test cases, checklists, test strategy)- Novice skills in test automation using Python- High responsibility and reliability, good team relationshipsResponsibilities: • Working with business requirements and their clarification• DB modeling (database model for layer 3 Normal Form, "Star" and Data Marts)• Building hybrid dwh (by Inmon and Kimball)• Dashboard and ETL Result testing and verification (Manual and automation testing , preparing checklists, bug reports, data mapping, data profiling, test strategy)• Developing Reports and Dashboards in Power BI Desktop• Working with flat files (.csv, .xlsx, .txt etc.)• Creating test documentation (checklist, test strategy etc.)• SQL and PL/pgSQL query optimization• Data Quality, Data Completeness, Data TransformationTools and Technologies: PostgreSQL, PL/SQL, Python, Git, AWS, Power BI, Tableau, DBeaver, Jira, PyCharm, GitHub, BitBucket