2+ years of Date Engineer experience
Strong knowledge of SQL
Strong knowledge of Python
Experience in ETL/ELT processes design, development, and maintenance
Experience in DWH modeling and Data Mart design
Experience with ETL platforms and tools (e.g. Apache Airflow, AWS Glue, SSIS, Talend, Informatica).
Experience with at least one RDBMS (MySQL, PostgreSQL, SQL Server, Oracle, DB2)
Experience in OLAP/OLTP queries performance tuning
Experience with cloud solutions and services (AWS preferred)
Experience with at least one VCS (Git, SVN, etc.)
Experience working in an Agile/Scrum development process
Upper-Intermediate or above level of English
Experience with Cloud DWH solutions (e.g. Azure Synapse, AWS Redshift, Snowflake).
Experience with RDBMS administration tasks (installation, configuration, monitoring, backup, etc.)
Experience with BI visualization tools (e.g. Power BI, SSRS, Tableau, or Qlik).
Experience with NoSQL databases (Mongo, Cassandra, etc.)
Working in one of the four largest IT companies in Belarus
Projects for such clients as PayPal, Wargaming, Xerox, Philips, adidas and Toyota
Competitive compensation that depends on your qualification and skills
Career development system with clear skill qualifications
Flexible working hours aligned to your schedule
Collaborate with product managers and fellow engineers to help define and implement innovative data deliverables.
Build complex ETLs using python packages.
Validate tools to support Data Engineering.
Illustrate data and process flows effectively
Present and explain data modeling and ETL strategy for key milestone deliverables to peers and executive level stakeholders
Establish and promote data best practices and standards (especially in matters of security)