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Data Engineer

Rapinno Health Care

Role overview

Qualifications

  • Extensive knowledge of data principles, patterns, processes, and practices
  • Experience with SQL database design and data modeling
  • Strong knowledge of industry trends
  • Experience building cost effective and performance driven solutions using elastic architectures in Microsoft Azure

Responsibilities

  • Drive digital innovation by leveraging innovative new technologies to transform existing core data assets
  • Define high-level migration plans to address gaps between current and future states
  • Present opportunities with cost/benefit analysis to leadership
  • Lead the analysis of the technology environment to detect critical deficiencies and recommend solutions for improvement

About the company

Rapinno Health Care logo

Rapinno Health Care

Contract Research Organizations (CRO)

At Rapinno Health Care, our expertise is helping healthcare organizations find a seamless workforce solution that aligns with our client's business strategies and overall staffing goals. We pride ourselves on building positive relationships to ensure that everyone involved brings added value to our customers and the patients they serve. Backed with a rich experience of Rapinno Tech, Rapinno Health Care believes that a successful healthcare organization must run like any efficient and successful business. To do this, you need to have the best talent and create synergies between maintainers, administrators, and organizational policy to create a recipe for success.

Company details

Company typeSME
IndustryContract Research Organizations (CRO)
Company size11 - 50

Links

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Job description

Job Title : Data Engineer

Location : Remote

Duration : 12 months

Job Description

Minimum Position Qualifications:

  1. Extensive knowledge of data principles, patterns, processes, and practices
  2. Any experience defining evolutionary data solutions and underlying technologies
  3. Experience with SQL database design, data modeling
  4. Analyze and organize raw data
  5. Build data systems and pipelines
  6. Evaluate business needs and objectives
  7. Interpret trends and patterns
  8. Conduct complex data analysis and report on results
  9. Demonstrated written and oral communication skills
  10. Basic understanding of network and data security architecture
  11. Strong knowledge of industry trends
  12. Knowledge in a minimum of two of the following technical disciplines: data warehousing, data management, analytics development, data science, application programming interfaces (APIs), data integration, cloud, servers and storage, and database management
  13. Experience building cost effective and performance driven solutions using elastic architectures in Microsoft Azure leveraging Cosmos, Azure Data Factory and Databricks Platforms.
  14. Experience with SQL and NoSQL applications on Big Data Platforms

Desired Previous Experience/Education:

  • Any experience with operational data science, machine learning or artificial intelligence solutions
  • Any experience with data science solutions or platforms
  • Data engineering certification (e.g IBM Certified Data Engineer) is a plus

Key Responsibilities

Essential Job Functions:

  • Drive digital innovation by leveraging innovative new technologies and approaches to renovate, extend, and transform the existing core data assets, including SQL-based, NoSQL-based, and Cloud-based data platforms
  • Define high-level migration plans to address the gaps between the current and future state
  • Present opportunities with cost/benefit analysis to leadership to shape sound architectural decisions
  • Lead the analysis of the technology environment to detect critical deficiencies and recommend solutions for improvement
  • Promote the reuse of data assets, including the management of the data catalog for reference

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MR

Marcus Rivera

Chief Revenue Officer

m.rivera@company.com
linkedin.com/in/marcusrivera
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