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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
DATABRICKS PLATFORM MANAGEMENT

  • 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
DEVOPS & AUTOMATION

  • 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
DATA ARCHITECTURE & STORAGE

  • 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
COLLABORATION & COMMUNICATION

  • 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
QUALIFICATIONS

REQUIRED EXPERIENCE

  • 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
TECHNICAL SKILLS

  • 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
SOFT SKILLS

  • 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
PREFERRED QUALIFICATIONS

  • 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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