Databricks Consultant
- Data Engineering: Apply your project experience to design, develop, test, and maintain scalable data pipelines and data products using tools like Autoloader, Declarative Pipelines, and Structured Streaming.
- BI & Data Analytics: Enable business intelligence and data analytics by building and optimizing Databricks SQL endpoints, data models, and integrations with BI tools.
- Machine Learning: Assist in the development and deployment of machine learning models using Databricks, Unity Catalog for governance, and MLflow for the ML lifecycle.
- Client Advisory: Advise clients on best practices for implementing and operating the full suite of Databricks capabilities, drawing from successful real-world use cases.
- Technical Implementation: Engage in the hands-on implementation of comprehensive Databricks solutions, from data ingestion and transformation to AI/ML model deployment.
- Bachelor's degree in Computer Science, Engineering, or a related field
- Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future
- Must be able to obtain and maintain a US government security clearance
- 2+ years of hands-on, real-world project experience developing and deploying solutions on the Databricks platform
- 2+ years of experience in SQL, Python, and Apache Spark
- 2+ years of experience with at least one major cloud platform (AWS, Azure, or GCP) and its surrounding data technologies
- Ability to travel up to 25%, on average, based on the work you do and the clients and industries/sectors you serve
- Strong problem-solving and communication skills
- Databricks certifications (e.g., Data Engineer Associate/Professional, Data Analyst Associate) are preferred
- Public sector experience preferred
- Active public sector clearance preferred
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