Senior Data Engineer
You will be part of our data platform & product insights data engineering team. As part of this agile team, you will work in our cloud native environment to:
- Build & support data ingestion and processing pipelines. This will entail extract, load and transform of ‘big data’ from a wide variety of sources, both batch & streaming, using latest data frameworks and technologies, along with real time monitoring dashboards and alerting.
- Assemble large, complex data sets that meet functional / non-functional business requirements. Partner with product to ensure build out of Data Dictionaries, ensure detailed documentation and knowledge around data assets, metrics and KPIs.
- Warehouse this data, build data marts, data aggregations, metrics, KPIs, business logic that leads to actionable insights into our product efficacy, marking platform, customer behavior, retention etc.
- Data Engineer with experience in advanced SQL, Python
- Building ‘big data’ data pipelines with distributed frameworks like Apache Spark, Dataflow etc. along with workflow automation & scheduling frameworks like Apache Airflow
- Building DataMarts in OLAPs, assemble large and complex data sets that meet functional / non-functional business requirements, Data modeling & cataloging
- SQL & distributed NO-SQL datastores (DBA level) eg. Postgres, MongoDB, BigQuery, Cassandra etc.
- Building enterprise scale software using Java/Scala/C#/F#, Docker, Kubernetes etc.
In addition, the following skills are helpful
- Business Intelligence (BI) tools and frameworks, BI reporting
- Agile software development, working in multi-functional multi-location teams
What we offer:
- Access to the most interesting information technologies
- The ability to implement your own ideas and solutions
- Participation in conferences and training
- English classes
- Three days for charity/volunteering
- Chillout & fun room (table tennis, table football, Xbox, billiards)
- Attractive benefits package (private health care, life insurance, MultiSport card)
- Fruit days, Coffee, tea, chocolate
CV w j. angielskim proszę przesłać na adres: email@example.com