Databricks Data Engineer
Purple Drive
Overview: POSITION SUMMARY We are seeking an experienced Data Engineer specializing in Databricks platform for a 6-month contract position based in Seattle, WA. This role focuses on designing, building, and deploying robust data pipelines and ETL processes within a cloud data platform environment. The ideal candidate will have strong expertise in Databricks, data modeling, and cross-functional collaboration to support enterprise data governance initiatives. RESPONSIBILITIES DATA PIPELINE DEVELOPMENT
- Design, build, and deploy data extraction, transformation, and loading (ETL) processes and pipelines
- Extract data from various sources including databases, APIs, and data files
- Develop and maintain scalable data pipelines within Databricks Cloud Data Platform
- Ensure data quality, reliability, and performance across all pipeline processes
- Implement data validation and monitoring mechanisms
- Build comprehensive data models that reflect domain expertise and meet current business needs
- Ensure data models remain flexible and adaptable as business strategy evolves
- Monitor and optimize Databricks cluster performance for cost-effective scaling and resource utilization
- Implement and maintain Delta Lake for optimized data storage, ensuring data reliability, performance, and versioning
- Leverage Databricks Unity Catalog for data governance and collaboration
- Automate CI/CD pipelines for data workflows using Azure DevOps
- Implement version control and deployment strategies for data pipelines
- Ensure automated testing and quality assurance for data processes
- Maintain infrastructure as code practices for data platform components
- Demonstrate expertise in database storage concepts including data lakes, relational databases, NoSQL, Graph databases, and data warehousing
- Design and implement efficient data storage solutions
- Optimize data access patterns and query performance
- Ensure proper data partitioning and indexing strategies
- Collaborate with cross-functional teams to support data governance initiatives
- Communicate technical concepts effectively to both technical and non-technical audiences
- Work with business stakeholders to understand data requirements
- Provide documentation and knowledge transfer for data solutions
- 5+ years of experience in data engineering and ETL development
- 3+ years of hands-on experience with Databricks platform
- Strong experience with cloud data platforms (Azure, AWS, or GCP)
- Proven track record in building and maintaining data pipelines at scale
- Databricks Expertise:
- Databricks workspace and cluster management
- Delta Lake implementation and optimization
- Databricks Unity Catalog
- Spark and PySpark programming
- Programming & Development:
- Strong coding skills in Python, Scala, or SQL
- Experience with data transformation and data quality frameworks
- Knowledge of data integration patterns and best practices
- Database & Storage:
- Data lake architecture and design
- Relational databases (SQL Server, PostgreSQL, etc.)
- NoSQL databases (MongoDB, Cassandra, etc.)
- Graph databases and data warehousing concepts
- DevOps & Automation:
- Azure DevOps or similar CI/CD tools
- Infrastructure as Code (Terraform, ARM templates)
- Git version control and branching strategies
- Strong analytical and problem-solving abilities
- Excellent written and verbal communication skills
- Ability to explain complex technical concepts to diverse audiences
- Collaborative mindset for cross-functional team environments
- Detail-oriented with focus on data quality and reliability
- Databricks certification (Data Engineer Associate/Professional)
- Experience with real-time data processing and streaming
- Knowledge of data governance frameworks and best practices
- Experience with data visualization tools (Power BI, Tableau)
- Background in Agile/Scrum development methodologies
Vacancy posted 3 days ago
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