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Director Data Engineering

Request Technology - Robyn Honquest

Posted on Dec 22, 2021 by Request Technology - Robyn Honquest

Virginia, VA
IT
Immediate Start
Annual Salary
Full-Time

NO SPONSORSHIP

DIRECTOR, DATA ENGINEERING

  • We build data platforms and capabilities that enable self-service data analytics, reporting, model development and machine learning and support data discovery, quality, lineage and governance
  • We manage and enhance Big Data and Data Warehouse platforms, collaborate with teams and leadership within IT and with business partners to advance our technical capabilities and provide data solutions that drive business results
  • We create Proof of Concepts (PoCs) to illustrate how cutting-edge technologies can be incorporated and enhance the company's technology offerings

Your Impact:

  • Lead a team comprised of junior, mid-level and senior data engineers
  • Deliver data solutions that are customer focused, easy to consume and create sustained business value
  • Leverage experience to build efficient and scalable data platforms utilizing best in class cloud tools and services
  • Build and maintain optimized and highly available data pipelines for both Real Time and batch data processing
  • Design, configure, engineer, integrate, implement data platform components and services
  • Deliver end-to-end solutions that are highly available, scalable, stable, secure and cost effective

Qualifications :

  • Degree in Computer Science, Mathematics, Engineering or related field
  • 12+ years of overall experience
  • Experience in Agile Development with Data leadership experience
  • Technical knowledge of infrastructure automation and Data-Ops strategy
  • Experience defining system architecture, leading Proof of Concepts and feasibility tradeoffs
  • Data Engineering, ETL pipeline automation with CI/CD, Data Quality Management and Operations
  • Strong technical knowledge in building and deploying applications in AWS
  • Strong technical knowledge in building web services and highly scalable solutions
  • Experience in data governance and data lake architecture highly preferred
  • Experience with data tools and platforms like Confluent Kafka, Attunity, Dremio, Okera, MongoDB and AWS

Reference: 1438585769

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