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MetaPhase Consulting - VA, VA

posted 3 days ago

Full-time - Mid Level
Hybrid - VA, VA
Professional, Scientific, and Technical Services

About the position

At MetaPhase, we believe Quirky is Cool and being authentic is the only way to be! We take the work we do very seriously and do a lot of important mission-focused work for our clients. We are individuals with different passions and strengths who take as much joy in the work we do as from those we work with. Today, we have a team that is invested in creating new solutions that lean forward, challenge the status quo, but also reflect our intimate knowledge of our customers' business. Over the years we have fostered a culture in which we are united by shared values-passion, solidarity, generosity, curiosity, and boldness-and these come alive in the work we do and how we do it. Together, we know our people are our difference-for our clients and our colleagues.

Responsibilities

  • Create and maintain databases and schemas to include tables, views, functions, procedures, triggers, constraints, etc.
  • Develop and configure data processing and storage tools to promote performance, maintainability, flexibility, and security.
  • Help in the development and decomposition of end user needs and requirements.
  • Create, review, and maintain data dictionary/catalog documentation and ecosystem documentation.
  • Troubleshoot data issues to identify root causes, propose recommendations, and implement solutions that will improve data availability, increase data quality, and optimize performance.

Requirements

  • US Citizenship required.
  • ONSITE Support in Alexandria 2-3 days per week.
  • A minimum of 3+ years of hands-on experience with database administration, configuration, and management.
  • A minimum of 2-3 years of hands-on experience with cloud frameworks and tools (e.g. AWS or Azure Services, GitHub Runners), Data Lineage/Cataloging (e.g. Collibra), ELT/ETL Tools (e.g. Snowflake).
  • Working understanding of data modeling techniques for both transactional and analytical data stores.
  • Data integration experience with Python, SQL, and other relevant languages from development to implementation.
  • Familiar with performance-tuning databases, SQL scripts, and clean coding techniques.

Nice-to-haves

  • Consulting experience in a federal government environment.
  • Data engineering experience on an enterprise scale, integrating multiple systems with various data structures.
  • Familiar with migrating on-prem databases and reports to the cloud (preferably AWS).
  • Master's degree in data analytics engineering, computer science, or related technical major.
  • AWS Professional Certifications for Data Engineering and/or Cloud Engineering.
  • Experience with Terraform/Ansible.

Benefits

  • Hybrid work environment with onsite requirements.
  • Competitive salary range of 90k-120k.
  • Recognition as one of the fastest growing and most impactful consultancies.
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