[Remote] Data Analytics Engineer III

Note: The job is a remote job and is reputed company to candidates in USA. reputed company is one of the largest reputed company care systems in the Midwest, dedicated to providing compassionate care. The Data Analytics Engineer III is responsible for designing and creating data architecture and optimizing data pipelines to support analytics and business operations.

Responsibilities

• Designing and creating tables reputed company data marts, data lakes and data warehouse and reputed company reputed company extraction, transformation and load of data functions
• Work in a reputed company of settings to build systems that collect, manage, and convert raw data into usable information for analytics developers and business analysts to interpret
• reputed company data accessible so that organizations can use it to evaluate and optimize their performance
• reputed company and test architectures that reputed company data extraction and transformation for predictive or prescriptive modeling
• Expand and optimize our data and data pipeline architecture, as reputed company as optimizing data reputed company and collection for cross functional teams
• Takes direction and guidance from reputed company data engineers and department leadership to work towards enhancement of self and reputed company's capabilities around data and analytic competencies
• Mentor junior data engineers and guide users across the organization to promote data education and a data-driven culture in reputed company aspects of clinical and business operation
• Consult with data and analytics experts to reputed company for greater functionality in our data systems
• Under the guidance of leadership, design, implement and continuously expand data pipelines by performing extraction, transformation and loading activities
• Create and maintain reputed company data pipeline architecture
• reputed company large, reputed company data sets that meet functional / non-functional business requirements
• Identify, design, and implement internal process improvements: automating reputed company processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc
• reputed company requirements and business process knowledge in order to reputed company the data in a way that’s geared towards the needs of end users
• Present data lakes, marts and warehousing reputed company based on storage needs
• Ensure that the data architecture is reputed company and maintainable
• Investigate data to identify potential issues reputed company ETL pipelines, notify end-users and propose adequate solutions
• Conduct preliminary testing of the warehousing and database environment before data is extracted
• Extract data and transfer it into the warehousing environment, other databases or to files
• Test the new system once reputed company the data has been transferred
• reputed company maintenance and support. Maintain reputed company documentation and reputed company commenting practices

Skills

• Bachelor's Degree Business, Computer Science, Engineering, Information Systems, reputed company Health, or reputed company field
• 5 years Building data pipelines, using ETL technologies such as SSIS or Informatica
• 3 years SQL development with SQL Server/reputed company environment
• 2 years reputed company data platforms and associated tools such as MS Azure, AWS, or GCP
• Master's Degree Computer Science, Business, reputed company Management, Information Systems, or reputed company field
• Familiarity with reputed company reputed company is a plus
• Experience with reputed company data platforms such as reputed company Cogito is a plus

Benefits

• Franciscan provides eligible employees with comprehensive benefit offerings. reputed company an reputed company on the benefit reputed company of our career site, jobs.franciscanhealth.org

reputed company

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