Senior Data Engineer

Key responsibilities

• Assemble large, complex data sets that meet functional / non-functional business requirements (business cases).
• Prepare datasets from various sources by request.
• Take care of data warehousing as a process.
• Implement and support Data model changes.
• Develop new integrations and Data marts.
• Recommend ways to improve data reliability, efficiency, and quality.
• Describe entities and lineage in Data Catalog.

Technical skills

• Strong knowledge of basic DWH design methodologies.
• Strong experience with databases like Vertica, PostgreSQL, ClickHouse, BigQuery, and similar.
• MPP databases experience.
• Expert structured query language (SQL) knowledge.
• Experience with Apache Airflow / prefect. Ability to write and use DAGs as a plus.
• Good skills in the programming language Python. Scala or Java as a plus.

Soft skills:

• Good communication and problem-solving skills.
• Spoken and written at least Intermediate English and fluent Russian.
• Detail-oriented and critical thinking.
• Decision-making and adapting to new changes.
• Write concise and clear documentation.
• Deal with constructive critics and know how to develop relationships with the team to achieve common goals.
• A good work ethic.

What we offer

• Medical insurance for employees, spouses, and children, including dental and optical.
• Reimbursement of home working equipment.
• Reimbursement of co-working expenses.
• Get to know your Team' Trip in sunny Cyprus twice a year.
• Sports activities compensation.
• Birthday, marriage, and baby delivery bonus.
• Paid maternity leave.
• Extensive learning opportunities and professional development.
• Language courses allowance.
• Flexible public holidays.
• 21 days annual leave and paid sick leave.
• Flexible public holidays and Christmas break.