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Cloud Data Engineer

2 months ago

Washington, Washington, D.C., United States General Dynamics Information Technology Full time
Job Summary

We are seeking a highly skilled Senior Data Engineer to join our team at General Dynamics Information Technology. As a Senior Data Engineer, you will be responsible for designing, developing, and implementing data pipelines and architectures to support our clients' business needs.

Key Responsibilities
  • Design and develop data pipelines to extract, transform, and load data from various sources into a centralized data warehouse.
  • Collaborate with cross-functional teams to identify business requirements and develop data solutions that meet those needs.
  • Develop and maintain data models, data dictionaries, and data governance policies to ensure data quality and integrity.
  • Work with data scientists and analysts to develop and deploy machine learning models and data visualizations.
  • Develop and maintain ETL processes to extract data from various sources and load it into a centralized data warehouse.
  • Collaborate with the data engineering team to design and implement data architectures that meet business requirements.
  • Develop and maintain data pipelines to support real-time data processing and analytics.
  • Collaborate with the data governance team to develop and maintain data governance policies and procedures.
  • Develop and maintain documentation to ensure data quality and integrity.
Requirements
  • 5+ years of experience in data engineering, data architecture, or a related field.
  • Strong understanding of data modeling, data governance, and data quality.
  • Experience with cloud-based data platforms, such as AWS, Azure, or Google Cloud.
  • Experience with data integration tools, such as Informatica, Talend, or AWS Glue.
  • Experience with data warehousing and business intelligence tools, such as Amazon Redshift, Amazon QuickSight, or Tableau.
  • Strong understanding of data security and compliance regulations, such as GDPR, HIPAA, or PCI-DSS.
  • Experience with agile development methodologies, such as Scrum or Kanban.
  • Strong communication and collaboration skills.
Preferred Qualifications
  • Experience with machine learning and artificial intelligence.
  • Experience with data visualization tools, such as Power BI or QlikView.
  • Experience with data governance tools, such as Collibra or Alation.
  • Experience with cloud-based data platforms, such as AWS Lake Formation or Google Cloud Data Fusion.
  • Experience with data integration tools, such as AWS Glue or Azure Data Factory.
What We Offer
  • Competitive salary and benefits package.
  • Opportunities for professional growth and development.
  • Collaborative and dynamic work environment.
  • Recognition and rewards for outstanding performance.