*Role: Software Engineer* *Location: Cleveland, Ohio* *Duration: 6+Months* *Job Overview & Purpose: * Client in Cleveland is searching for Software Engineers to help us build complex algorithms that implement state of the art analytics in a Hadoop, with technologies like MapReduce and Spark. Our Software Engineers bring a full-stack perspective to the entire engineering organization and make an impact on software development, automation configuration, monitoring, and process improvements. Candidates will have the opportunity to make significant contributions to current and future versions of our Big Data platform that transforms our partners’ clinical, financial, and operational data into actionable information that enables Population Health and Performance Management.
Successful candidates must have 2+ years’ experience in, and be able to demonstrate • Proficiency in Java, SQL, and Python • Experience working with Docker and Flask • Working knowledge of Hadoop and Spark • Comfortable working in a Linux environment *Essential Functions: *• Participate in the full lifecycle of large feature development through definition, design, implementation, and testing • Be an advocate for developing best practices in the organization, and bring in the knowledge of new technologies to the team • Regularly contribute to ongoing improvements in the engineering process and product development ecosystem • Foster an environment of continuous learning and improvement • Contribute to ongoing education initiatives and the on-boarding of new engineers • Take technical ownership for specific facets of the technology stack • Participate in designing and building large distributed systems which scale well • Participate in Research and Development (R&D) activities at the project level • Share areas of technical expertise • Improve processing time and reduce complexity • Effective time management skills • Develop, troubleshoot, and optimize new and existing distributed code • Responsible for project and code quality, including participation in code reviews • Analyze and improve the performance of our distributed data processing system • Develop tools and utilities to maintain high system availability, monitor data quality, and provide statistics • Develop an understanding of healthcare terminology and workflows, including the processing, aggregation, and analysis of data *Minimum Qualifications: *• Bachelor’s Degree in Computer Science or related field • Knowledge of software development in an object-oriented programming language: Java, C++, C#, Python, PHP, Ruby, Perl, etc. • Strong understanding of data structures, algorithms, and complexity analysis • Comfortable coding and working in a Unix environment • Proven analytical and troubleshooting skills • Proven verbal and written communication skills, including the ability to articulate complex technical concepts to non-technical stakeholders • Ability to work gracefully and effectively in high-pressure situations • Eagerness to learn new things, continually growing and expanding personal abilities *Knowledge, Skills, Abilities Preferred: *• Master’s Degree or higher in Computer Science or related field • 3 or more years of software development experience • Experience developing in Hadoop ecosystems or other distributed computing systems • Experience with Extract, Transform, and Load (ETL) principles • Experience developing and maintaining APIs for internal and external users • Experience with healthcare IT systems and workflows/experience Thanks... Uday Varanganti Recruiting Specialist [email protected] O: (785)380 8559 Ext:109 -- You received this message because you are subscribed to "rtc-linux". Membership options at http://groups.google.com/group/rtc-linux . Please read http://groups.google.com/group/rtc-linux/web/checklist before submitting a driver. --- You received this message because you are subscribed to the Google Groups "rtc-linux" group. To unsubscribe from this group and stop receiving emails from it, send an email to [email protected]. For more options, visit https://groups.google.com/d/optout.
