Data Engineer

Formal Job Description

Azure Cloud/Engineers - strong Databricks experience

• 5+ years of experience in Databricks and ETL development to design, build, and optimize robust data pipelines and ETL automation.
• Collaborate effectively with data architects, DBAs, product owners, and other stakeholders to ensure alignment on project goals, requirements, and solutions.
• Design, develop, and maintain scalable data pipelines in Azure using Python and Databricks, focusing on efficient ETL processes for large datasets.
• Build and optimize data lakes and backend architectures, ensuring smooth data extraction, transformation, and loading (ETL) across systems.
• Work with healthcare data (claims, pharma, PHI/PII), ensuring compliance with data privacy regulations and implementing security measures like tokenization.
• Leverage Azure cloud technologies, particularly Databricks, to implement large-scale data processing and analytics solutions.
• Integrate middleware solutions like MuleSoft for data processing between SAP and Databricks.
• Drive data transformation and automation tasks, focusing on scalable and efficient solutions within the engineering team.
• Familiarity with healthcare or pharma-related data, with expertise in handling sensitive data (PHI/PII) and implementing security measures such as tokenization.

Required Skills : Need someone with a very strong Azure Data Engineering background Must have Azure Data Bricks and Azure Data Factory PHI/PII or HIPPA protected data ETL automation and ETL Development

Basic Qualification :

Additional Skills :


Long term contract

Background Check : Yes


Drug Screen : Yes


Notes :
Selling points for candidate :Long term contract
Project Verification Info :The information provided below is for Apex Systems AV use only and is not to be distributed publicly, or to any third party. Any distribution of the below information will result in corrective action from Apex Systems Vendor Management. MSA: Blanket Approval Received Client Letter: Will Not Provide
Exclusive to Apex :Yes
Face to face interview required :No
Candidate must be local :No
Candidate must be authorized to work without sponsorship ::No
Interview times set :Yes
Type of project :
Master Job Title :
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