Informacje o stanowisku

technologies-expected :

• Python
• Docker
• Kubernetes
• SQL
• Apache Spark
• Apache Airflow
• PostgreSQL
• MongoDB
• BigQuery
• Cassandra

• 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.

• 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

• 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

• 50% KUP (CoE)
• Annual bonus (CoE)

• private medical care

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