Outcoding an EX Squared Company
Nearshore Excellence for Businesses Worldwide
Outsourcing • QA • .Net • Java • Mobile
501 - 1000
Senior Data Engineer
April 24
Outcoding an EX Squared Company
Nearshore Excellence for Businesses Worldwide
Outsourcing • QA • .Net • Java • Mobile
501 - 1000
Description
• Join the largest radiology network and take on a pivotal role in our data product development team • Instrumental in translating business requirements into scalable data products • Design, develop, and implement data supply chains in an enterprise data warehouse environment using cutting-edge technology like Microsoft Azure, ADF, Python, PySpark, Spark SQL, and Databricks • Crucial for ensuring the reliability and efficiency of our data systems, directly impacting our ability to leverage data for strategic decisions and improving patient outcomes • Collaborate within a team of 10 data professionals, divided into sub-teams focusing on different aspects of data management and pipeline development
Requirements
• Bachelor's degree in Computer Science, Information Technology, or a related field • Prior experience with data lakes and data warehouses, working knowledge with dimensional modeling is a must • Demonstrate advanced understanding in data engineering practices, Including ETL/ELT, data integrations, reusable data pipelines, data management methods • Advanced Pyspark, Python, Spark SQL, Dimensional models, optimization in Azure, data bricks skills required • 6+ years of experience in data engineering with Azure data bricks ecosystem • Strong knowledge of Azure data services, including ADF, Databricks, Delta Lake, delta live tables, Power BI, and Azure SQL Server • Experience with data processing languages such as SQL, Python, Pyspark and Spark SQL • Experience with agile methodologies on Azure DevOps and continuous integration/continuous delivery (CI/CD) • Applicants must have a United States Visa.
Benefits
• Health care experience is desired with a data-centric motive is a plus. • Ability to service various business stakeholders, internal and external partners to support data demands.
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