Database Administrator, Databricks

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September 12

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CDIT LLC

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B2B • Software Development • SaaS

CDIT LLC is an execution-based firm that focuses on delivery, integrity, and transparency in all its business operations. With over 20 years of experience, CDIT provides innovative Information Technology and Management Services, specializing in Software Development. The company prioritizes customer-driven solutions and maintains a culture that fosters talent and excellence among its employees, ensuring quality project management for both large and small projects.

51 - 200 employees

Founded 2003

🤝 B2B

☁️ SaaS

📋 Description

• 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.

🎯 Requirements

• Must be a U.S. Citizen with the ability to pass CBP background investigation (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 • 3-5 years of Databricks experience • Experience designing and building ELT pipelines using Python, Spark, Kafka, SQL • Experience automating ELT data pipelines using CI/CD methodologies • Database skillset for AWS RDS concepts, and understanding of database principles used by tools like Oracle and Informatica ETL • Strong software development background using Agile or DevOps methods and familiarity with cloud-native technologies • College degree (B.S.) in Mathematics, Statistics, Computer Science, Software Engineering, or a related discipline; industry and/or academic experience acceptable in lieu of degree • Preferred/Bonus: 5-10 years of DHS, DoD, or IC experience working in complex data environments • Preferred/Bonus: 5-10 years applying analytical techniques including statistical, geospatial, link, temporal, and predictive analysis for DHS, DoD, or IC agencies • Preferred/Bonus: 3-5 years building and implementing artificial intelligence, neural networks, deep learning, or machine learning capabilities in software applications in a national security or academic environment • 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 • Previous experience as an Enterprise-level Data Architect, Data Engineer, Data Scientist, or Data Analyst

🏖️ Benefits

• Remote work