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Data Engineer
2 weeks ago
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 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.
- Ability to service various business stakeholders, internal and external partners to support data demands.
- Health care experience is desired with a data-centric motive is a plus.
- 8+ 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)
- Strong problem-solving and analytical skills; excellent communication and collaboration skills
- Self-motivated and a self-starter with strong ability to multitask projects/tasks effectively.
- Ability to work independently and collaborate effectively in a team environment.
- Proven experience with cloud platforms, Microsoft Azure, Databricks environment.
- Applicants must be currently authorized to work in the United States
Responsibilities
- Design, develop, and implement Databricks infrastructure and applications.
- Collaborate with data scientists, analysts, and stakeholders to gather requirements and understand business needs.
- Develop and maintain scalable and efficient Databricks projects.
- Optimize and tune Databricks to ensure high-performance data processing.
- Implement security measures to ensure privacy and compliance with healthcare regulations.
- Mentor and provide technical guidance to junior engineers.
- Stay up-to-date with the latest Databricks trends, tools, and technologies.
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