Data Engineer

• Good understanding of relational database logic. I.e. differences between CAP and ACID, types of relations between tables, isolation levels etc.

• Hands-on experience with PostgreSQL.

• Proficiency in query authoring (SQL).

• Working knowledge of procedures and functions.

• Experience with performance and tuning of SQL queries.

• Good understanding of de-normalized/normalized data.

• Solid understanding of ETL logic.

• Good understanding of DWH principles and DWH performance optimization.

• Experience with Python

• Experience with NoSQL databases.

• Experience with data tools: DBT.

• Basic experience with stream-processing systems: Kafka, Storm, Spark-Streaming, etc.

• Basic experience with GitLab CI/CD pipelines

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  Build and maintain reliable, well-structured data pipelines.

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  Assemble large, complex data sets that meet functional / non-functional business requirements.

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  Contribute to internal process improvements: automating manual processes, optimizing data delivery, and improving scalability.

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  Build the components required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and BI technologies.

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  Support the development of analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics.

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  Create data tools for analysts and data scientists that will assist them in building andoptimizing our product into an innovative industry leader.

Excited to join us? Click the Apply button and let’s build something amazing together!