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As a Senior Data Engineer on the MMA IT Data and Analytics Team, we will count on you to develop and maintain scalable data pipelines, enhance data models, and provide subject matter expertise in data acquisition and consumption pipelines on Azure, Databricks and Confluent.
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The experience should be with requirements gathering, SQL, Data Integration tools such as Informatica Powercenter, Microsoft SSIS, Azure ADF and Data Warehousing techniques. Ensures integration of the project logical data model into the enterprise conceptual data model.
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Databricks Expertise: Optimize data processing by using your expertise in Databricks, develop Spark-based solutions, and enhance data integration and analytics capabilities. 5+ years’ experience as a Data Engineer with a deep understanding of data management, ETL pipelines and streaming data.
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Building near real-time data pipelines a plus Cerner, Meditech, CPSI, Allscripts, EPIC, McKesson, NextGen data integration experience a plus Excellent written and verbal communications skills Strong interpersonal skills- ability to communicate with all levels of customers, vendors, and IT resources Tenet Healthcare/USPI complies with federal, state, and/or local laws regarding mandatory vaccination of its workforce.
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DevOps Integration: Implement continuous integration and continuous deployment (CI/CD) pipelines using Jenkins and Terraform to automate deployment, monitoring, and scaling of data infrastructure.
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Familiarity with data integration techniques, ETL frameworks (e.g., Apache Spark), and workflow management tools (e.g., Airflow). Ensure data governance and compliance standards, including responsible AI principles and data privacy, are adhered to during data integration and transformation processes.
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As a Senior Data Engineer, you will play a critical role in designing, implementing, and maintaining our client's data infrastructure while ensuring scalability, reliability, and efficiency.
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Experience with at least one Data Integration tool on the level of Dell Boomi, DataStage, or Informatica. The Senior Data Engineer is a key contributor in the EDA team, providing expertise in modeling data structures and designing, building, and optimizing data mappings.
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The Data Engineer determines methods and approaches to projects, transforming business requirements specifications into programming instructions, designing, coding and testing programs. 5+ years of experience as a ETL/Data Engineer.
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Strategic Integration and Security: Partner with the Data Operations, Data Governance and Strategic Pod Operations teams to streamline data integration, maintain data security, and access best practices.
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The University IT Services (UITS) Enterprise Data and Analytics (EDA) team is responsible for developing and managing shared services in the area of data and analytics for the entire UMass university system.
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Extensive experience in data-focused roles (analytics, specialist, or engineer) and one or more areas of Build, Release & Data Management. Engineer - Digital Data Development.
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Strong proficiency in Microsoft Azure Data Factory (ADF) for data integration and orchestration. Relevant certifications in Microsoft Azure, such as Azure Data Engineer Associate or Azure Solutions Architect.
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Advanced knowledge of SQL, comfortable writing and debugging SQL queries and extracting from Azure SQL Server; knowledge of diverse data stores and data integration tools is a plus (Azure Databricks, Snowflake, Data Factory, Matillion, etc.
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Proven experience as a Data Engineer, Database Developer, or relevant experience and certifications are welcome in lieu of a degree. With a propensity of action over analysis, they are responsible for ensuring efficient data ingestion, storage, processing, and retrieval, as well as providing data integration solutions to enable effective data analysis and reporting.
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