Data Engineer
Data Engineer
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1 Vacancy
Job Description
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
Employment Type
Full-time
