Sr Data engineer with Unity Catalog

Overview

On Site
Depends on Experience
Contract - W2
Contract - Independent

Skills

Data Governance
Data Extraction
Data Integration
Data Lake
Data Quality
Data Engineering
Cloud Computing
Continuous Integration
Data Warehouse
Databricks
DevOps
SQL
Unity
Workflow
Migration
PySpark
Python
Microsoft Azure
Unity Catalog
Scala
Azure
Azure Data Factory

Job Details

Role : Sr Data engineer with Unity Catalog

Duration : Long Term Contact

Location : Seattle WA- 4 days office

Core skills
Collaborate with cross-functional teams to support data governance using Databricks Unity Catalog
Need to coordinate with Offshore
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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