Senior Data Engineer Offline

Requirements:

- Spark/Databricks (3 years +);

- Python;

- SQL;

- Hive;

- Azure and AWS;

- Designing & Implementing data pipelines;

- Hands on experience with ETL/ELT processes;

- Excellent public speaking skill.

Nice to have:

- Data Factory;

- Delta Lake;

- Writing unit & integrations tests;

- Transact-SQL;

- Experience in the ticketing or live event industry.

Responsibilities:

- Design & Implement a Data Warehouse Solution using Best Practices and Reusable Design Patterns and Processes;

- Create and implement Framework and Methodology;

- Understand and manage the implementation of any tools required to bring value to the process of product and feature creation;

- Work with the business to identify feature gaps;

- Support the Director, Business Data where necessary.

English level: Advanced, Fluent

Benefits and Perks

- Continuous improvement;

- Flexible schedule;

- 20 days vacation;

- Office in downtown IF or remote work;

- Participation in conferences and seminars;

- Health insurance;

- Foreign languages courses.