Sr. Data Engineer with Unity Catalog

Seattle Based client

Location – Seattle WA- 4 days office

Duration – 12 months

Core Skills –

Collaborate with cross-functional teams to support data governance using Databricks Unity Catalog

Need to coordinate with Offshore

10-12 years of experience in data engineering or a related field

Expertise with programming languages such as Python/PySpark, SQL, or Scala

• Experience working in a cloud environment (Azure preferred) with strong understanding of cloud data architecture
• Hands-on experience with Databricks Cloud Data Platforms Required.
• Should have experience migrating to Unity Catalog.
• Experience with workflow orchestration (e.g., Databricks Jobs, or Azure Data Factory pipelines) Required
  
  

Responsibilities -

Design, build, and deploy data extraction, transformation, and loading processes and pipelines from various sources including databases, APIs, and data files.

• Develop and support data pipelines within a Cloud Data Platform, such as Databricks
  
  

Build data models that reflect domain expertise, meet current business needs, and will remain flexible as strategy evolves

• Monitor and optimize Databricks cluster performance, ensuring cost-effective scaling and resource utilization
• Demonstrates ability to communicate technical concepts to non-technical audiences both in written and verbal form.
  
  

Demonstrates strong understanding with coding and programming concepts to build data pipelines (e.g. data transformation, data quality, data integration, etc.). . Demonstrates strong understanding of database storage concepts (data lake, relational databases, NoSQL, Graph, data warehousing).

Implement and maintain Delta Lake for optimized data storage, ensuring data reliability, performance, and versioning

Automate CI/CD pipelines for data workflows using Azure DevOps