CACI is looking for a Databricks Database Administrator to modernize the data warehouse environment by migrating the platform to Databricks for the Customs and Border Protection (CBP) client.
Requirements
- 3-5 years of Databricks experience
- Experience designing and building ELT pipelines using Python, Spark, Kafka, SQL etc.
- Experience automating ELT data pipelines using CI/CD methodologies.
- Database skillset for AWS RDS concepts, and understanding of database principles used by tools such Oracle, and Informatica ETL
- Strong software development background using Agile or DevOps methods and deep familiarity with cloud-native technologies.
- Exposure to Continuous integration, Continuous Deployment (CI/CD) and DevOps processes and tools
- Exposure to implementing or migrating to Cloud environments like Amazon Web Services (AWS) or Microsoft Azure.
Responsibilities
- Modernize the data warehouse environment by migrating the platform to Databricks
- Work with database developers and administrators across multiple product teams.
- Serve as a data and technology expert across a broad and diverse set of mission critical applications
- Create or augment business and operational intelligence tools using languages such as SQL, Sparks, and Python to detect trends, patterns, and non-obvious relationships in large, complex, and disparate data sets.
- Evaluating existing data sets and reporting architectures to identify strategic gaps and apply modern technologies to creatively achieve superior mission outcomes.
- Actively participate in Agile Scrum sprint planning, artifact creation, sprint testing, regression testing, demonstrations, retrospectives and solution releases
- Analyze project-related problems and create innovative solutions involving technology, analytic methodologies, and advanced solution components.
Other
- Must be a U.S. Citizen with the ability to pass CBP background investigation, criteria includes but is not limited to: 3 year check for felony convictions, 1 year check for illegal drug use, 1 year check for misconduct such as theft or fraud
- 7+ years of professional experience working on complex data challenges in the areas of data architecture and engineering
- College degree (B.S.) in Mathematics, Statistics, Computer Science, Software Engineering, or a related discipline. (Industry and/or Academic experience is acceptable in lieu of degree.)
- 5-10 years of DHS, DoD, or IC experience working in complex data environments, including the architecture and optimization of data schemas, terabyte-scale ETL, etc.
- Ability to be adaptable and to work constructively with a technically diverse and geographically separated team is crucial.
