Certification University degree in Computer Science or related fields of study (Mathematics, Physics)
3-5 Years of experience architecting and building Data Lake, Azure Big Data architecture, Enterprise Analytics Solutions, and optimizing big data data pipelines, architectures and data sets.
Advanced hands-on SQL, TSQL, Python, pySpark, Hive, HDFS (2+ of these) knowledge and experience working with relational databases for data querying and retrieval.
Experience with Design and Architecture of Azure big data frameworks Azure Data Lake, Azure Data Factory, Azure Databricks, Azure ML, SQL Data Warehouse, HDInsights, Stream Analytics - or their Open Source counterparts: Kafka, Spark, Blob Storages. Experience with Design and Architecture of relationalSQL and NoSQL databases
Knowledge of DevOps Processes (including CI/CD) and infrastructure as a code fundamentals
Profound knowledge of Data Quality issues and methods of dealing with them
Fluent in English, German language will be considered as a plus
