We are looking for Data Engineers that are proficient in the following tech stack:
1) Languages: Python (nice to have), SQL, Javascript (nice to have), Shell
2) Databases: Snowflake (nice to have), Redshift (nice to have), MariaDB, MongoDB or others
3) Integration: REST API Consumption
4) Cloud: AWS Services including (S3, AWS Secrets Manager, SNS (optional), SQS (optional), etc.)
5) OS: Linux, Mac
6) Task Management/Orchestration: Cronus, Airflow
7) Data Visualization: PowerBI (preparing data to be consumed by our Data Visualization team), Grafana
8) Metrics Collection: Prometheus
• To attend challenging projects from world-known companies
• Opportunity for self-realization, career and professional growth
• Official employment with competitive compensation
• Opportunity to go on international business trips
• Paid vacation, sick-leave
• Flexible working schedule
• Official Ukrainian holidays are days off
• Corporate events
• English classes & speaking clubs
• Library with contemporary professional literature
• Friendly team
• Comfortable working environment
• Cozy work places
• Business center A class
• Convenient location, 5 minutes from subway station
The Data Modeling Engineer will be responsible for building out the data backend from the ground up.
The Client’s company provides a portal with multiple marketplaces and a way for their clients to build a new marketplace targeted for selling some specific products/equipment.
Data Engineer’s main goal is to handle new development work (i.e. data lake expansion), along with supporting a number of existing implementations (i.e. data lake maintenance).
Data Engineer will be supporting our efforts to rebuild our data lake and enterprise data warehouse within Snowflake. We have a lot of existing Python code that is transforming our data.