Data Warehouse Engineer
US-VA-McLean
External
Req #: 6192
Type: Full-Time
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Overview: We are seeking a Data Warehouse Engineer to join our team and work closely with clients to develop, optimize, and scale enterprise-grade data platforms, warehouses, and pipelines. We are looking for more than just a "Data Warehouse Engineer," but a highly skilled data technologist with strong communication and problem-solving abilities who thrives in cloud-based environments. Responsibilities: Key Responsibilities: * Help develop the migration of data environments with a focus on performance, reliability, and scalability. * Ability to examine and understand complex data pipelines. * Assess, document, and analyze data sources, ETL workflows, and business intelligence tools. * Address technical inquiries related to data warehouse customization, integration, and enterprise architecture. * Develop and maintain robust data pipelines and ETL processes to support business intelligence and analytics. * Design and enforce data governance strategies, ensuring high data quality and compliance. * Work in an Agile development environment, collaborating with data scientists, engineers, and business stakeholders. * Contribute to the growth of our Data Exploitation Practice by implementing cutting-edge data warehousing solutions. Qualifications: Required: * Ability to hold a position of public trust with the US government. * 3-5+ years of experience in data engineering, data warehousing, or data architecture. * Knowledge of Python or other object-oriented languages is a plus. * Experience designing and implementing data governance strategies. Preferred: * Strong knowledge of SQL and database optimization techniques (Preferably SQL Server. Alternatively, PostgreSQL, MySQL, Oracle). * Experience with Databricks, PySpark, SparkSQL is a plus. * Experience with SSIS or ADF. * Experience creating entity-relationship diagrams. * Ability to work in a DevSecOps environment, applying CI/CD best practices. * DBA or server patching experience is a plus. * Experience designing and implementing data governance strategies.
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