Das ist der Job
Duties & Role: Analyze clients' IT processes to identify optimal methods for generating data assets.
Darum lohnt es sich
Advise on Data Architecture, Data Management, Data Warehousing, and use of Data Lakes and Data Lakehouses. Build and evolve data solutions using tools like Hadoop, Exasol, and Snowflake. Create, develop, and refine data pipelines. Integrate best practices and innovations in data engineering into projects.
Take on partial or full project management responsibilities, depending on experience. Skill, Knowledge & Experience: Strong knowledge of Data Warehouse, Data Lakehouse, Data Mesh, and Data Fabric concepts. Experience with open-source data tools like Kafka and the Hadoop Ecosystem.
Proven ability to build real-time data pipelines using Flink, Kafka, Spark, and dbt. Proficiency in Python and Java. Agile, proactive mindset and passion for data. Fluency in English. #J-18808-Ljbffr
