Senior Data Engineer

The Lead Data engineer is responsible for managing of his stakeholders by aligning on solution design and challenges and choices made to address the business requirements. The Lead Data engineer collaborates with solution architects, competence, development team and business to ensure consistency in the overall big-data landscape.

• SQL background, understanding the concepts of OLAP/BI querying patterns, and has paratactical knowledge in creating these solutions to support this.
• Data modelling experience, preferably on non-business process data domains (e.g. IOT, machine data)
• 5+ years (hands-on) experience with designing and building robust solutions for storing very large quantities of raw data of different sizes in the proper technology solution (eg. Object Storage, Azure blob )
• 2+ years (hands-on) experience in designing and building both batch and streaming architectures
• 2+ years (hands-on) experience with columnar storage formats, and backends (Parquet, Data lake)
• Experienced integrating SQL engines into solutions (e.g. Impala, Drill)
• 2+ years (hands-on) experience with big data (hybrid) cloud concepts and implementations
• Being fluent in at least one programming languages, Python,  Java or.net.
• Experience with cloud native service Azure Synapse, SQL ADX, Databricks & Azure Data Factory, Azure Functions.
• Hands on and leading proof of concepts and securing learning in the industrialized solutions.

• Masters Level
• +3 years in Azure