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Data Engineer - Platform Developer

Company: Guidehouse
Location: Baltimore
Posted on: January 16, 2022

Job Description:

Job DescriptionOverview
Guidehouse is a leading global provider of consulting services to the public sector and commercial markets, with broad capabilities in management, technology, and risk consulting. By combining our public and private sector expertise, we help clients address their most complex challenges and navigate significant regulatory pressures focusing on transformational change, business resiliency, and technology-driven innovation. Across a range of advisory, consulting, outsourcing, and digital services, we create scalable, innovative solutions that help our clients outwit complexity and position them for future growth and success. The company has more than 12,000 professionals in over 50 locations globally. Guidehouse is a Veritas Capital portfolio company, led by seasoned professionals with proven and diverse expertise in traditional and emerging technologies, markets, and agenda-setting issues driving national and global economies. For more information, please visit www.guidehouse.com.
Responsibilities
Job Description/Responsibilities:

  • Serve as primary point of contact for a client engagement or flagship in-house platform
  • Understand needs and align architecture with key business requirements
  • Design and lead development using software engineering best practices (e.g., 12 factor app, DevSecOps principles, CI/CD workflows)
  • Lead data scientists/analysts and cross-functional teams to build platforms for discovering, collecting, cleansing, and refining the data needed for analysis and modeling
  • Develop, build, test, and maintain scalable data pipeline architectures, tools and data environments (e.g. data lakes, warehouses)
  • Utilize best practices for and identify ways to improve data management, reliability, efficiency, and quality
  • Utilize Spark, Databricks and/or other tools or platforms as necessary to meet project needs
  • Remove roadblocks to development through collaboration, communication, and creative solutions
  • Drive development best practices and continuous integration and delivery in an Agile framework
  • Operate in a cloud environment and assess environment specifications and requirements for big data and machine learning
    Qualifications
    Required: US Citizenship and ability to obtain a Public Trust clearance B.S./B.A. in Data Science, Computer Science, Information Systems, or other computational discipline OR B.S./B.A. along with a professional development/bootcamp on data engineering 5+ years of relevant professional experience Experience architecting and building data services systems (e.g., pipelines, platforms) Experience performing data engineering to enable data science and machine learning Experience in Python or Scala Understanding of relational databases, columnar data warehouses, NoSQL, and other storage types Ability to design and instrument automation and CI/CD workflows Familiar with DevOps and container technologies (Docker/Kubernetes) Familiarity with cloud-based services (AWS, Azure, GCP) Knowledge/experience designing and building distributed systems for scalability and security Understanding of Agile development methodologies Experience with micro services architecture and API gateways Preferred: M.S./M.A. in Data Science, Computer Science, Information Systems, or other computational discipline 10+ years of relevant professional experienceby Jobble

Keywords: Guidehouse, Baltimore , Data Engineer - Platform Developer, Engineering , Baltimore, Maryland

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