Description
Senior Data EngineerLocation: Munich (1, 2 days working remotely is an option)
Duration: 8 months (with possibility to extend)
I am working with a multi-billion euro company that is seeking an experienced Data Engineer for a long term project. The ideal candidate will have a strong experience in Python & Azure. If you had experience in a DevOps environment (preferably with CI/CD) would be highly advantageous.
You will partner with internal clients to evaluate current and desired state data warehousing and Big Data capabilities. You will translate into technical solutions for data systems including data warehouses, lakes, ETL integrations, BI tools or other components.
You’ll thrive here because you…
• Are an expert in the full life cycle of back-end design and development of data warehouse and Big Data solutions. Design, code and construct data models (data vault, dimensional, 3NF), ETL processes, lakes.
• Love to work on complex problems and provide technical leadership for data warehousing strategies and roadmaps.
• Provide functional and technical subject matter expertise in various data management, warehousing, business intelligence and Big Data solutions across multiple industries.
• Can assist in the development of project estimates, plans and timetables.
• Have demonstrated an understanding of data warehouse design patterns and trends such as dimensional modelling, data vault, logical data warehouse and modern data warehouse.
• Demonstrated an understanding of design best practices and operational requirements of data warehouse solutions such as sizing, scaling, fault tolerance, performance tuning, security etc.
• Have experience with master data management practices such as. data governance, data security
• Love to be immersed in a data driven environment
Nice to see…
• Bachelor’s Degree or equivalent experience; Advanced degree preferred
• 5+ years of experience in Python
• 5+ years of experience architecting, building and scaling transnational and analytical databases, Big Data and business intelligence solutions.
• 1+ years of experience with analytics tools and languages such as Tableau, SQL Server Analysis Services, SQL Server Reporting Services, Power BI, R, and Python.
• 2+ years of experience with enterprise database system operations
• 2+ years of experience with industry-leading Big Data solutions such as Hadoop, Cloudera, Azure Data Lake, HDInsight
• Experience designing and developing Cloud solutions for data and analytical workloads, such as warehouses, Big Data, data lakes, real-time streaming and advanced analytics
• Data management consulting experience.
• Knowledge and experience working with secured and sensitive data and systems such as PII, HIPAA, and CJIS.
• Certified Business Intelligence Professional (CBIP); Certified Data Management Professional (CDPM); Certified Data Vault Professional 2.0; Certified Enterprise Data Management Expert; Certified Data Steward; Information Governance Professional; and other certifications provided through the various cloud and data-related products such as Oracle, Teradata, Azure etc.