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

Key facts

Remote from: Oregon (USA), Pennsylvania (USA), Texas (USA)
Freelance
Data Engineer
English

Hard skills

SQL (Programming Language) Data Modeling Data Engineering Data Integration Analytics Cloudant Database Management Network Security Microsoft Azure Cost Reduction Machine Learning Artificial Intelligence

Other skills

Communication

About the company

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 details

Company typeSME

Industry

Company size11 - 50

Links

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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