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Technology Specialist - Smart Brewery

Responsibilities:

  • Work with Product Owners in Connected Brewery to help them leverage smart data solutions
  • Providing guidance on suitable options for designing and creating data pipelines for the analytical solutions to/from data lakes/data warehouses to e.g. microservices or API's.
  • Building ELT jobs based on jointly defined requirements
  • You will be actively exploring, designing, building and supporting the Connected Brewery Data Platform
  • Works closely with both the backend developers as well as the IT data architecture group
  • Develop data set processes for data modeling, mining, and production.
  • Mine and analyze data to drive optimization and improvements
  • Develop custom data models and algorithms to apply to data sets.
  • Be a strong advocate for a culture of process and data quality across development teams
  • Gather requirements and support to build roadmaps and architectures to help the Product Team achieve its goals
  • Managing the quality of the solution and technical debt
  • Follow an agile development methodology

 

You are a good candidate if:

  • A MSc (or PhD) in Computer Science, Mathematics, Physics, or related technical field
  • 4+ years of experience with modern data architectures like Hadoop, Greenplum, Spark, CouchDB, Elastic, Glue, Kinesis, S3, Lambda, Athena, EventHub, etc.
  • Experienced with data modelling, design patterns, building highly scalable and secure analytical solutions
  • Experienced with SQL, scripting languages (Python, Perl, Ruby), UNIX shell scripting, versioning systems (e.g. Git)
  • Supporting tooling such as Gitlab (CI/CD), Terraform (Infra) Experience with AWS IoT core components
  • A plus is an experience in
    • Connecting a modern data architecture with TeraData, Oracle, MySQL, SAP HANA, Power BI, QlikView (or similar reporting and BI package).
    • Industrial protocols and/or concentrator suites like Kepware Server, GE Historian, etc.
    • Knowledge of CHEF (orchestrator)
  • Strong hands-on and pragmatic problem-solving skills


Job Segment: Business Intelligence, Data Warehouse, Database, Network, Oracle, Technology

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