Sr. Data Engineer with Unity Catalog

Georgia Tek Systems

WA, WA

JOB DETAILS
SKILLS
Application Programming Interface (API), Cisco Unity, Cloud Architecture, Cloud Computing, Communication Skills, Cross-Functional, Data Lake, Data Management, Data Quality, Data Storage, Data Warehousing, Database Extract Transform and Load (ETL), Database Technology, Microsoft Windows Azure, NoSQL, Performance Tuning/Optimization, Programming Languages, Python Programming/Scripting Language, Relational Databases (RDBMS), Resource Utilization, SQL (Structured Query Language), Scala Programming Language
LOCATION
WA, WA
POSTED
30+ days ago
Sr. Data Engineer with Unity Catalog
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 a 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

About the Company

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Georgia Tek Systems