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