Key Facts

Remote From:

Oregon (USA) , United States

Freelance

Hard Skills

Other Skills

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Communication
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Problem Solving

Roles & Responsibilities

Extensive knowledge of data principles and practices
Experience with SQL database design and data modeling
Experience building solutions in Microsoft Azure
Knowledge in data warehousing and integration
Familiarity with operational data science and AI is a plus

Requirements:

Drive digital innovation with new technologies
Define migration plans for data platforms
Present cost/benefit analysis for architectural decisions
Analyze technology environment for improvements
Promote reuse of data assets

Rapinno Health Care

About Rapinno Health Care

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 type: SME

Industry:

Founded: 2018

Company size: 11 - 50

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Job description

Job Title : Data Engineer

Location : Remote

Duration : 12 months

Job Description

Minimum Position Qualifications:

Extensive knowledge of data principles, patterns, processes, and practices
Any experience defining evolutionary data solutions and underlying technologies
Experience with SQL database design, data modeling
Analyze and organize raw data
Build data systems and pipelines
Evaluate business needs and objectives
Interpret trends and patterns
Conduct complex data analysis and report on results
Demonstrated written and oral communication skills
Basic understanding of network and data security architecture
Strong knowledge of industry trends
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
Experience building cost effective and performance driven solutions using elastic architectures in Microsoft Azure leveraging Cosmos, Azure Data Factory and Databricks Platforms.
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