RemoteWorker US

Remote Data Engineer

Job description

Apex Systems is currently looking for a Data Engineer to help support on of our clients. This will be a full-time, direct placement with the client. They are looking for a resource to support data pipeline creation. The client is currently focused in an Azure Data house, including the use of Data Factory, Data Lake, and Databricks.


Primary focus of this role is to architect, develop and maintain data pipelines using analytical, data driven approach for constantly evolving business and that aligns with DFC's long-term technical data strategy

  • Build scalable & repeatable batch & real-time data pipelines using standard frameworks & best practices
  • Collaborate with technical & non-technical teams across organization to craft & build data models/APIs using Scala/Python/Spark on Azure/AWS
  • Catalogue end-to-end data flows
  • Support governance of data usage to ensure consistency, including development of data dictionary and guidance/rules on usage of specific metrics
  • Supports data infrastructure including PBI data models, development of Bronze, Silver & Gold-level tables/views in Azure/Synapse/Databricks
  • Provide mentorship on technical decision that will have an impact on the analytics community
  • Participate in project planning, defining breakthroughs & delivarables
  • Mentors less experienced developers or data engineers


We are looking for someone who has:

  • Bachelor's degree (Master's preferred) in technical field or equivalent work experience
  • 3-5 years of experience in data engineering with an emphasis on data analytics and reporting
  • 3-5 years of proven track record with at least one of the following cloud platforms: Microsoft Azure, Amazon Web Services (AWS), Google Cloud Platform (GCP), others
  • 3-5 years of experience in the design and build of data extraction, transformation, and loading processes by writing custom & complex data pipelines
  • consistent track record with one or more of the follow scripting languages: Scala, Python, SQL, Spark and/or other
  • Proven understanding of machine learning methods

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