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  • Design and develop data pipelines, with optimized data delivery and stability in mind
  • Assemble large, complex data sets that meet functional / non-functional business requirements.
  • Work with Data and Cloud Teams to build the infrastructure required for extraction, transformation, and loading of data from a wide variety of data sources using SQL and Azure ‘big data’ technologies.


  • Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases and big data stores.
  • Experience building and optimizing ‘big data’ data pipelines, architectures and data sets.
  • Experience using the following software/tools:
    • Relational SQL databases, including SQL Server, Oracle.
    • Azure services – Azure Storage, ADLS, Azure SQL Database & SQL Warehouse
    • Data pipeline and ETL tools: Azure Data Factory, SSIS.
    • Data Virtualization tools / platforms: TIBCO Data Virtualization, SQL Server Polybase
  • Experience with subsurface data is a plus, but not required