ONSITE::Lead Data Engineer - DataBricks at Vancouver, WA

Overview

On Site
Depends on Experience
Accepts corp to corp applications
Contract - W2

Skills

DataBricks
Power BI
Data Factory
Azure SQL
Data Lake Storage

Job Details

Hello,

Greetings.!

This is Hima from Appridat Solutions LLC. I was reviewing your resume online and would like to talk to you regarding an exciting opportunity For Lead Data Engineer - DataBricks at Vancouver, WA (Onsite). We have with one of Appridat Solutions LLC premier clients. Your experience looks like a good fit for the position, and I wanted to

Lead Data Engineer - DataBricks
Vancouver, WA (Onsite)

Visa :H1B , , Job Summary:
We are looking for a skilled Data Engineer with strong experience in Databricks, Azure, and SQL to join our growing data team. The ideal candidate will have a solid understanding of data warehousing concepts, dimensional modeling, and data lakes, with a passion for designing and optimizing high-performance data solutions. Experience with Power BI is a plus.

Key Responsibilities:

  • Design, develop, and maintain scalable data pipelines using Azure and Databricks.
  • Ensure data integrity, accuracy, and security across all stages of the data lifecycle.
  • Implement and manage data lake and data warehouse architectures.
  • Apply dimensional modeling and best practices in data warehousing to support reporting and analytics.
  • Collaborate with data scientists, business analysts, and software developers to gather requirements and deliver data-driven solutions.
  • Develop and tune ETL/ELT processes for performance and reliability on large-scale datasets.
  • Monitor, troubleshoot, and optimize data processing jobs.
  • Contribute to the design of analytics and reporting solutions; Power BI experience is a plus.

Required Skills and Qualifications:

  • 5+ years of experience in data engineering or a related role.
  • Proficient in Databricks, Azure Data Services (Data Factory, Azure SQL, Data Lake Storage).
  • Strong knowledge of SQL and experience with complex queries and performance tuning.
  • Hands-on experience with data warehousing, dimensional modeling, and data lake architectures.
  • Strong understanding of ETL/ELT processes and data pipeline orchestration.
  • Familiarity with data governance, security, and compliance best practices.
  • Experience working with large-scale, distributed data systems.

Regards,

Hima Bindu

Appridat solutions LLC.

5655 Peachtree Parkway, Suite 212, Peachtree Corners, GA 30092

PHONE:*533 | Fax

Direct:

Email:

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