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Big Data Developer
2 weeks ago
CAROUSEL_PARAGRAPH
JOB_DESCRIPTION.HTML- Remote, United States
- Surgical Care Affiliates
- Technology
- Regular
- Full-time
- 1
- USD $85,;
- 34081
Today, SCA Health has grown to 11,000 teammates who care for 1 million patients each year and support physician specialists holistically in many aspects of patient care. Together, our teammates create value in specialty care by aligning physicians, health plans and health systems around a common goal: delivering on the quadruple aim of high-quality outcomes and a better experience for patients and providers, all at a lower total cost of care.
We lead the industry in value-based payment solutions through our Global 1 bundled payment convener, that provides easy predictable billing to patients.We help physicians address everything beyond surgical procedures, including anesthesia and ancillary service lines.ResponsibilitiesThis position is primarily responsible for:
- Building and supporting data solutions with a focus on quality, performance, scalability, and resilience.
- Participating in data solution planning, design, development, testing, deployment, and documentation activities.
- Providing support and guidance to the business concerning data artifacts, solutions, and analysis.
- Providing production support as required to support business operations.
- Assisting in team operational, solution, and process improvement initiatives.
Minimum Qualifications
- Bachelor's Degree in Computer Information Systems or other technology-related fields or equivalent experience.
- 1+ years of experience using Azure DevOps for data solution management and delivery
- 2+ years of experience with Azure Data Factory
- 2+ years of experience with relational database platform
- 1+ years of experience Azure Synapse or Databricks
- 1+ years of experience Python Scripting Development
- 2+ years working in SDLC
- Must have excellent communication skills both written and verbal
- Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
- Experience with big data tools: li>
- Design, implement, and maintain data pipelines for data ingestion, processing, and transformation in Azure.
- Work together with data scientists and analysts to understand the needs for data and create effective data workflows.
- Create and maintain data storage solutions including Azure SQL Database, Azure Data Lake, and Azure Blob Storage.
- Utilizing Azure Data Factory or comparable technologies, create and maintain ETL (Extract, Transform, Load) operations.
- Implementing data validation and cleansing procedures and will ensure the quality, integrity, and dependability of the data.
- Improve the scalability, efficiency, and cost-effectiveness of data pipelines.
- Monitoring and resolving data pipeline problems will guarantee consistency and availability of the data.
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