Senior Data Engineer

Nucorevision, Inc.
Washington, DC, United States
3 months ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
10 years minimum
Working hours
Regular working hours
Job source

Tech stack

Microsoft Azure Big Data Data Files Extract Transform Load (ETL) Data Sharing Data Structures Relational Databases Apache Hadoop Python (Programming Language) Open Source Technology Scala (Programming Language) SQL Databases
+7 more
Data Streaming Apache Spark Microsoft Fabric Information Technology Data Management Data Pipelines Databricks

Job description

Create and maintain optimal data pipeline architecture, including optimal extraction, transformation and loading of data, leveraging Microsoft Fabric notebooks, Apache Spark (SQL, Python, Scala) and other Microsoft Azure or open-source tools as required. Maintain high quality documentation about data structures in shared data governance tools for the business to access. Collaborate with data owners, data stewards, analysts, software developers, and Database Administrators (DBAs). Experience with Apache Spark, Python, SQL or relational databases, Hadoop, Databricks and data pipeline management in Spark for batch and streaming. Experience building and optimizing ā€˜big data’ data pipelines, architectures and data sets.

Requirements

Do you have experience in Technical documentation?, Do you have a Master’s degree?, * Must be a US citizen

  • Must Reside in the DMV Area (DC, Maryland, Virginia)
  • Must have a minimum of 10-years Experience
  • Master’s Degree Highly Preferred, * Years of Experience: 10+ years

  • Recommended Certifications: Power Platform certifications preferred.

  • Relevant federal IT experience, technical capability, and operational support experience aligned to assigned labor category.

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