Data Engineering Professional

Databricks, Python, Pyspark, B4HANA, SQLhands on experience, Lakehouse knowledge, CI&CD Tasks to ingest data from a different internal source system via Kafka connector (will be built by another team) into bronze, clean data and implement data quality checks (a.o. reconciliation, business rules). Code business rules in an efficient and effective way with good coding principles that other developers in the team easily understand and can built upon. Make data available on a regular frequency without human intervention for a consumption layer according to business requirements and with 99% availability and trustworthiness Drive functional and technical discussions independently with stakeholders. DevOps understanding Should be flexible to work on both Development and L2 Support tasks Databricks, Python, Pyspark, B4HANA, SQLhands on experience, Lakehouse knowledge, CI&CD Tasks to ingest data from a different internal source system via Kafka connector (will be built by another team) into bronze, clean data and implement data quality checks (a.o. reconciliation, business rules). Code business rules in an efficient and effective way with good coding principles that other developers in the team easily understand and can built upon. Make data available on a regular frequency without human intervention for a consumption layer according to business requirements and with 99% availability and trustworthiness Drive functional and technical discussions independently with stakeholders. DevOps understanding Should be flexible to work on both Development and L2 Support tasks