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We are looking for an experienced Senior Data Engineer with a strong foundation in Python SQL and Azure and hands-on expertise in Databricks. In this role you will build and maintain scalable data pipelines and architecture to support analytics data science and business intelligence initiatives. Youll work closely with cross-functional teams to drive data reliability quality and performance.
Responsibilities:
Migrate legacy data infrastructure from Azure Synapse to Azure Fabric while ensuring performance security and scalability.
Build and optimize data systems pipelines and analytical tools leveraging a bronze-silver-gold architecture.
Develop and configure Databricks notebooks and pipelines for ingestion of data from both on-premise and cloud environments following native Databricks standards.
Collaborate with stakeholders to translate business needs into robust data solutions and effectively communicate technical progress risks and recommendations.
Implement strong data governance and access control mechanisms to ensure data quality security and compliance.
Conduct advanced data analysis to support decision-making and reporting needs.
Apply QA testing practices within data workflows particularly in healthcare environments
Drive initiatives in Data Discovery Data Lineage and Data Quality across the organization.
Qualifications :
Remote Work :
Yes
Employment Type :
Full-time
Remote