Python Data Engineer

Responsibilities

• Develop, construct and maintain the architecture for data management.
• Ensure architecture will support business requirements.
• Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using batch and stream processing.
• Assemble large, complex data sets that meet functional / non-functional business requirements (business cases).
• Take care of data warehousing as a process.
• Recommend ways to improve data reliability, efficiency and quality.

Requirements

Technical / Hard Skills:

• Database design with massively parallel processing appliances: Vertica, BigQuery, ClickHouse, PostgreSQL and similar.
• Expert structured query language (SQL) knowledge.
• Build ETLs/ELTs to take data from various streams, data sources and craft a unified dimensional or star schema data model for analytics and reporting.
• Strong knowledge data warehouse architecture.
• Python skills associated with ETL and data processing.
• RDBMS database design in data warehousing context (SQL Server, Oracle, Postgres) and query optimization.
• Git DVCS.
• Experience with building stream-processing systems, using solutions such as Flink is a plus.

Soft Skills:

• Detail-oriented and passionate about data quality.
• Ability to work with strict deadlines.
• Spoken and written English – intermediate level.
• Spoken and written Russian – fluent level.

Company offers

• Outstanding relocation package with the ability to start working remotely anywhere + competitive salary based on the candidate's expectations and internal benchmark.
• New branded corporate Mini Cooper Countryman S for the employee and the family, medical insurance for employees and family members, company fitness center for employees and their spouse, parking near the office or a bus tickets.
• Kindergarten/school compensation program and the best view to the sea from their own roof bar.
• They support the relocation of their candidates and do their best to help them to be successful in the company.