Key Facts

Remote From:

Kentucky (USA) , Massachusetts (USA)

Full time

English

Hard Skills

Other Skills

•
Teamwork

Roles & Responsibilities

5+ years of development experience building cloud data solutions on AWS and IBM platforms
Bachelor's degree or equivalent experience; Computer Science or related field preferred
Strong experience with AWS and IBM LSF (Load Sharing Facility) and developing scalable, robust data solutions; HPC exposure
Proficiency with Agile methodologies (Scrum/Kanban) and CI/CD concepts; excellent technical documentation skills

Requirements:

Design and implement scalable AWS solutions and integrate with IBM LSF
Build robust, scalable, fault-tolerant ETL/ELT data pipelines with flexibility and minimal overhead
Ensure data integrity, consistency, and quality across new releases
Collaborate with architects and engineers to define, execute, and maintain core data systems ensuring high availability and transactional correctness

Saviance Technologies Pvt. Ltd.

About Saviance Technologies Pvt. Ltd.

Saviance Technologies is a US Healthcare IT Service provider focusing on Patient Engagement with Innovative Products and Solutions like Patient Intake Tablet, iHealthConnect Wellness Portal, Mobile Applications, Actionable Analytics and ICD-10 Testing Services. Incorporated in 1999 in New Jersey, with over 15 years of excellent industry track record, Saviance offers services & solutions that enable enterprises to achieve critical objectives. Saviance is a Gold Category Corporate Member with Healthcare Information Management Systems Society (HIMSS), member of mHealth Alliance and Corporate member of NJ-HITEC. We are awarded by INC. 5000 as one of the fastest growing privately held companies in North America. Saviance is also ranked among the Fast 50 Asian American Businesses in the United States by USPAACC (US Pan Asian American Chamber of Commerce) and selected as a 2014 "Top Business" recipient byDiversityBusiness.com. A certified Minority Business Enterprise recognized by NMSDC, Saviance is also partner with leading global brands such as Microsoft, Amazon Web Services, Apple, Samsung and Red Hat.

Company type: SME

Founded: 2018

Company size: 51 - 200

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Job description

Job Title: Sr. Cloud Data Engineer- AWS and IBM LSF (Load Sharing Facility)
Location: Remote- East Coast hours
Duration: 12+ Month Contract
Client: Harvard Business School

Job Description:

BigRio is looking to add an AWS Cloud Engineer (with IBM LSF experience) to their Data Team that designs, builds, and maintains the integrated platform that securely procures and links critical business data from disparate internal and external sources. This involves assimilating all structured, unstructured, and semi-structured data. The AWS Cloud Engineer will touch all aspects of the data operation, in particular, data infrastructure, to ensure a robust, efficient, and consistent foundation for enterprise consumption & application development.

Responsibilities:

Design experience in AWS and IBM LSF ( Load Sharing Facility)
Skilled in implementing scalable AWS solutions and connecting to IBM LSF
Build robust, scalable, and fault-tolerant ETL pipelines that allow flexibility and efficiency with minimum overhead and maintenance
Responsible for data integrity and consistency and quality of new releases
Work with other architects and engineers to define, execute, and update core data systems while maintaining a high level of availability and transactional correctness

Skills and Qualifications

5+ years of development experience building cloud data solutions with AWS and IBM platforms.
Bachelor's Degree or equivalent experience is required. Preferred in Computer Science or related degree.
Cloud experience - AWS and IBM LSF preferred for HPC- HIGH PERFORMACE COMPUTING
Experience developing and deploying robust and scalable solutions
Experience working within an agile development process (Scrum, Kanban, etc)
Familiarity with CI/CD concepts
Demonstrated proficiency in creating technical documentation.
Write excellent, fully tested code to build ETL /ELT data pipelines on Cloud.