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
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.
