Position: Database Architect/Designer

Job type: Full Time, Permanent

Experience: 2 - 5 years

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Job content

The Data Engineer is an expert in SQL development support to the data and analytics IT experts in database design, data flow and data analysis activities. The Data Engineer plays a key role in the development and deployment of innovative big data platforms for advanced analytics and data processing.The Data Engineer defines and builds the data pipelines that will enable faster, better, data-informed decision-making within the business
  • Work together with the Solution- and Data Architect to design the next generation big data platform to support the digital marketing platform.
  • Design and implement a new big data solution which supports high amounts- and velocity of data, supports future growth, use latest big data technologies/techniques, is cloud supported and in-line with Shell’s strategies.
  • Design and implement modern data pipelines to extract, clean and process data in batch and real-time from different data sources.
  • Use the latest development, testing and deployment techniques to quickly deploy new releases to e.g. deploy new data pipelines and add data sources.
  • Help establish best practices around data governance, data security- and privacy (GDPR).
  • Work together with the solution- and data architect to the define the target data strategy.Drives and applies Agile Framework within his/her operating environment. Will take direct reports, when applicable, through Agile Framework and its respective tools.

Technical Skills

  • Source Code Control (e.g. Git, Subversion). Open Source Frameworks (Apache Spark, Hadoop etc.)
  • Strong design and coding skills (e.g. Python, Scala, JavaScript)
  • Experience with reporting/visualization tools (e.g. SAP Lumira/Design Studio, Spotfire, Power BI)
  • Comfortable to work with global stakeholders, internally and externally.
  • Experience with SAP technologies (SAP ECC/ERP, SAP BW, SAP HANA etc.)
  • Experience with SQL-based technologies (e.g. MSSQL, MySQL, PostgreSQL).
  • Experience with Restful API developments.
  • Experience with data blending technology (e.g. Alteryx)
  • Experience with Microsoft or AWS data stack e.g. Microsoft Azure Data Lake, Hadoop (preferably with Spark), Cosmos DB, HDInsight/HBase, MongoDB, Redis, Azure Table/Blob stores etc.Job Experience RequirementsExperiences
  • Interpretation of data, highly analytical, troubleshooting and problem-solving skills.
  • Experience with data architecture and design techniques (local/abstract).
  • Experience with API techniques/developments.
  • Experience with data transformation/blending technology (e.g. Alteryx is preferred).
  • Experience with working concepts as data pipelining / data wrangling
  • Experience with big data platforms; working with large data sets, large amounts of data in motion and numerous big data technologies.
  • Agile Project Delivery techniques (e.g. SCRUM) & experience creating and using a wide range of scrum and agile artefacts and techniques, automated testing, personas, user stories, agile games etc
  • Awareness of Agile Framework and its tools such as Visual Studio Team Services (VSTS)
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Deadline: 20-06-2024

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