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Python Data Engineer
Ref No.: 19-00149
Location: Reston, Virginia
We are looking for a Python Data Engineer to join one of our Federal Health IT engagements. Successful candidates are passionate, self-driven problem-solvers who love taking on new challenges using the latest data and cloud technologies. They also  love data and keep up with the latest technology trends. They tinker, explore and regularly read to stay in touch with new data trends and are passionate about discovering ways to improve quality, reusability, extensibility, and consistency. Successful candidates should also be  multi-faceted with a great mix of technical and interpersonal skills, to succeed in highly collaborative and agile work environments.  As a Modern Data Engineer, this person will design and deliver innovative solutions for Postgres and Redshift on Amazon Web Services, using core cloud tools.
  • Display passion for delivering high quality products that meet customers' needs
  • Solving data-oriented problems in an analytical and iterative fashion
  • Perform analysis, architecture, design, and development of cloud data solutions
  • Working with various kinds of data (structured, unstructured, metrics, logs, json, xml, etc.)
  • Working in various agile methodologies (Scrum, Kanban, SAFe)
Qualifications / Required Experience:
  • 3+ years of Python Development, with emphasis in ETL Development
  • 5+ years of SQL experience, with emphasis in Data Analysis
  • Proficiency in relational database design and development
  • Experienced building and scaling batch/asynchronous systems
  • Hands-on development using and migrating data to cloud platforms, AWS
  • Analytical approach to problem-solving; ability to use technology to solve business problems
Desired Experience:
  • Data pipeline orchestration tools such as Airflow, Amazon Glue
  • Familiarity with PostGres, Redshift
  • Cloud platform certification(s) (example: AWS Certified Solutions Architect)