You will design and maintain robust data solutions to process and analyze vast amounts of data.
Collaborate with cross-functional teams to optimize cloud-native data architectures and pipelines.
responsibilities :
Design, build, and maintain robust data ingestion and processing pipelines for large-scale data
Collaborate with product teams to deliver comprehensive data solutions that meet business requirements
Develop and manage data warehouses, marts, and aggregations that offer deep insights into customer and product behavior
Implement real-time monitoring and alerting for pipeline performance and reliability
Document key data assets, KPIs, and metrics to promote knowledge sharing and transparency
Continuously improve the cloud-native data architecture for greater scalability and efficiency
requirements-expected :
5+ years in a similar role
Proficiency in building scalable systems using Python, Docker, Kubernetes
Experience with big data pipelines using tools like Apache Spark, Dataflow, and orchestration with Apache Airflow
Skilled in designing DataMarts and managing complex data pipelines to meet business needs
Strong in data modeling, SQL, and distributed NoSQL databases such as Postgres, MongoDB, BigQuery, Cassandra
Experience with BI tools and reporting frameworks
Agile development experience in cross-functional, distributed teams
English fluency at B2–C1 level
offered :
50% KUP (CoE)
Annual bonus (CoE)
benefits :
private medical care
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Senior Data Engineer • Gdańsk, Pomeranian, Poland
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