Data Engineer

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Responsibilities:

• Developing ETL/ELT pipelines for data ingestion and transformation based on SA specifications.
• Implementing data mart prototypes in Greenplum for production: refactoring SQL, implementing incremental loading, and ensuring idempotency.
• Optimizing queries and data marts in Greenplum: selecting distribution keys, implementing partitioning, analyzing query plans (EXPLAIN ANALYZE), mitigating data skew and broadcast/redistribute motion, and configuring resource queues/groups.
• Configuring pipeline orchestration, monitoring, and alerting.
• Performing data quality checks and ensuring SLAs for data mart freshness.

• Experience working as a Data Engineer for 3+ years.
• Strong SQL skills, including complex queries, window functions, and working with large tables; advanced Python proficiency.
• Extensive experience with Greenplum, including a strong understanding of distributed architecture and MPP systems, distribution keys and partitioning, query optimization and execution plan analysis, VACUUM/ANALYZE, and working with append-optimized and column-oriented tables.
• Experience working with DWH systems and a solid understanding of data modeling principles, including Data Vault and star/snowflake schemas.
• Experience working with orchestration tools such as Airflow or similar solutions and processing large volumes of data.
• Experience working with Git and CI/CD pipelines and participating in code reviews.
• Ability to read and analyze source system documentation and effectively collaborate with source system owners.
• Ability to write clear, well-structured, and unambiguous technical specifications.
• Level of English – from Intermediate and above.

• SQL
• Airflow
• CI/CD
• ELT
• ETL

• Angielski

• 7.4k–11.2k PLN netto/m (B2B)
• B2B - Elastyczne godziny pracy (100%)
• Praca zdalna: W całości

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