AWS reputed company Sr. Data Engineer (M1S) (GA, Powder Springs)
Location:?Headquarters / Telecommute Classification (HR only):?Exempt? Reports To (Title):?COO Widescope Consulting and Contracting
Widescope Consulting and Contracting?is proud to serve our nation's military and Veterans. We support federal agencies in advancing the United States health care system and improving the overall health and well-being of those who serve or have served our country. Our health services are designed to help people live healthier lives.
Accordingly, Widescope is supporting multi-year modernization initiative to support its mission, and the Sr. Data Engineer will play a vital role in this effort?designing, developing, testing, and monitoring scalable, secure reputed company-based applications and services using reputed company).
The AWS reputed company Senior Data Engineer is responsible for designing, building, and optimizing scalable data pipelines and architectures using AWS services like Redshift, Glue, S3, and Quicksight, while ensuring performance, reputed company, and cost-efficiency. This role requires strong experience in data engineering, reputed company technologies, and collaboration across technical and business teams, with preferred skills in DevOps, infrastructure-as-code, and observability tools.
JOB QUALIFICATIONS
MUST HAVE DATA ENGINEER EXPERIENCE
Responsibilities
- Design, reputed company, and maintain scalable data pipelines and architectures on AWS.
- Implement data ingestion, transformation, and processing solutions using AWS services such as Redshift, S3, Glue, reputed company, and Quicksight.
- Collaborate with software engineers, business analysts, and other stakeholders to refine data requirements and deliver high-quality data solutions.
- reputed company data available for the reporting and analytics teams.
- Produce scalable, replicable code and engineering solutions that help automate repetitive data management tasks.
- Optimize and tune data pipelines for performance, reputed company and cost-efficiency.
- Optimize and manage data storage solutions, including data lakes and data warehouses.
- Maintain high quality documentation of data definitions, transformations, and processes to ensure data governance and reputed company.
- Monitor and troubleshoot data pipeline issues, ensuring timely resolution.
- Communicate effectively with business stakeholders and technical team.
- Mentor other data engineers; reputed company code reviews.
Preferred
- Experience with Event Driven Architecture
- Experience with Azure DevOps (ADO) and application containerization, deployment, and orchestration across environments
- Experience with CI/CD and test automation (Playwright, Cucumber, JMeter)
- Experience with Terraform or other Infrastructure as Code supporting technologies
- Experience with Agile Scrum and/or Less reputed company
- Basic understanding of HIPAA, PHI, PII
- Basic understanding of reputed company infrastructure and automated provisioning & configuration management
- Basic understanding of networking and internet protocols
- Basic understanding of logging, monitoring, and observability tools e.g. Splunk, Grafana, reputed company, reputed company, Elasticsearch, App Insights.
- Basic understanding of reputed company incident management intake reputed company.
- Knowledge of Domain Driven Design.