Sr. Data Engineer with Unity Catalog

Overview

On Site
Accepts corp to corp applications
Contract - Long Term

Skills

SQL
Python/Pyspark
Databricks Unity Catalog
or Scala

Job Details

Job Title : Sr. Data Engineer with Unity Catalog

Location : Seattle WA | Hybrid

Duration : Long Term contract

Job Description:

  • 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
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