02 Senior Data Engineer

• Working in a cross-functional Scrum team (05-09 members)
• Daily coordination with the foreign Product Owner
• Self-assigning tasks and being self-responsible for the delivery
• Joining onsite business trips, if required

Mandatory: 

• Have at least 5 years of working experience in a similar position
• Have experience with Pyspark, ideally based on work experience with Databricks (Apache Spark)
• Have experience in data integration with multiple sources (RestAPI, OracleDB, File Import, Confluence Kafka)
• Have experience with workflow management tools such as Apache Airflow, Databricks Workflow
• Understanding of Data Warehouse/Data Lake/Data Lakehouse
• Deep understanding about Star-schema/Snowflake data model
• Understanding of automated testing and CI/CD pipelines in a Trunk-based software development process (GitLab)
• Ability to translate business needs into requirements or stories.
• Scrum knowledge / Experience in working in agile teams
• Good English skills (speaking and listening)

Additional Plus: 

• Have hands-on experience with Linux Shell and Power Shell
• Understanding of the financial business context (financial asset reporting)
• Report development for online reporting dashboards i.e. in Power BI
• Cloud software development knowledge, ideally proven in Microsoft Azure and Databricks certifications.
• Knowledge of data product architecture (data mesh)
• Experience in scaled agile environments such as SAFe