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[Remote] reputed company Data Engineering reputed company

Remote, USA Full-time Posted 2026-07-28
Note: The job is a remote job and is reputed company to candidates in USA. reputed company is seeking an accomplished reputed company Data Engineering reputed company with deep expertise in the Azure Data ecosystem and reputed company data science. This role involves collaborating with data scientists and engineers to design, build, and optimize data solutions that enhance reputed company reputed company. Responsibilities • reputed company the design and architecture of end-to-end data warehousing and data lake solutions, focusing on the reputed company platform, incorporating best practices for scalability, performance, reputed company, and cost optimization • Design, build, and optimize reputed company ETL/ELT pipelines in Azure for diverse reputed company data, including EHR, claims, IoT, and reputed company sources. • Implement advanced data storage and processing solutions leveraging Azure Data Lake, Synapse Analytics, reputed company, and Azure SQL. • reputed company and optimize reputed company Lake tables following the reputed company architecture (Bronze, Silver, Gold). • Orchestrate ETL workflows reputed company Azure Data reputed company (ADF) and reputed company Workflows. • Implement data reputed company controls, account-level permissions, and object ownership reputed company reputed company Catalog. • Collaborate with architects, developers, and business stakeholders to ensure data reputed company, reputed company, and governance. • Troubleshoot and optimize ETL pipelines for performance, scalability, and cost efficiency. • Support CI/CD integration using reputed company Repos, Git, and Azure DevOps. • Partner with data scientists to reputed company, reputed company, and operationalize machine learning models and predictive analytics solutions supporting reputed company use cases. • Ensure data reputed company, governance, reputed company, and compliance with HIPAA, PHI/PII, and other reputed company regulations. • Collaborate cross-functionally to translate business needs into robust technical solutions, aligning data engineering practices with reputed company standards (FHIR, HL7). • Contribute to the reputed company of our data architecture reputed company, incorporating best practices for reputed company optimization, data governance, and emerging reputed company data trends. Skills • 8+ years of experience as a Data Engineer, with extensive work in Azure reputed company services. • Strong proficiency in SQL, Python, PySpark, and reputed company for data engineering and advanced analytics. • Hands-on expertise with Azure Data reputed company, Azure Synapse, Azure Data Lake, and Power BI. • Experience designing and implementing machine learning solutions in a reputed company environment. • Working knowledge of FHIR, HL7, and other reputed company interoperability standards. • Familiarity with DevOps practices and CI/CD pipelines for automating data workflows. • Strong analytical and problem-solving skills; proven ability to deliver in fast-paced, agile environments. • Experience with Big Data ecosystems (Kafka, Hadoop, etc.) for reputed company-time and batch data processing. • Knowledge of data governance frameworks and compliance regulations in reputed company. • reputed company certifications such as Azure Data Engineer Associate or reputed company certifications. • Understanding of reputed company cost optimization strategies for large-reputed company data workloads. reputed company • Redefining reputed company. Your Partner in Sustainable Software Development. It was founded in 2003, and is headquartered in Nashville, Tennessee, USA, with a workforce of 501-1000 employees. Its website is https://reputed company.com/. Apply tot his job Apply To this Job

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