The Senior IT Data Engineer is responsible for evaluating, implementing, and managing cloud-based and hybrid data systems. This role requires expertise in data warehouses, data lakes, data pipelines, and infrastructure as code. The ideal candidate will have a strong background in database technologies and cloud platforms.
Location: Washington, District of Columbia, United States,
Responsibilities:
- Implement and manage cloud-based data and big data systems.
- Utilize infrastructure as code (IaC) to build and configure data systems.
- Implement and manage hybrid data systems.
- Evaluate and work in production environments with cloud data systems.
Required Skills & Certifications:
- At least seven years of experience evaluating and working in production environments with cloud data systems, including RDBMs, data warehouses, and data lakes.
- Bachelor's degree or higher in Computer Science, Business Administration, Science, Mathematics, or Engineering.
- Experience with RDBMs and NoSQL databases.
- Ability to implement and manage cloud-based data and big data systems, such as Amazon Aurora, Snowflake, Databricks, and Amazon Redshift.
- Ability to use infrastructure as code (IaC) such as Terraform or AWS CloudFormation.
Preferred Skills & Certifications:
- AWS Solutions Architect - Associate/Professional
- AWS Data Engineer - Associate
- AWS Developer - Associate
Special Considerations:
- Not specified.
Scheduling:
- Not specified.
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