SW Engineer ( AI/ML)

Engineers in this role accomplish business objectives by monitoring system functions from all points of system processing identifying and assisting in solving processing problems. The engineer works closely with internal partners and external clients by providing technical assistance on products and services department reporting and process trending. They are responsible for otimizing Python/PySpark in a Hadoop ecosystem. Working with large data sets and pipelines using tools and libraries of Hadoop ecosystem such as Spark HDFS YARN Hive and Oozie. Designing and developing cloud applications: AWS OCI or similar.

Required Skills -
- Python/PySpark
- Big Data experience
- Ability to communicate clearly with key stakeholders
- Data aggregation standardization linking quality check mechanisms and reporting.
- Critical thinking
- Healthcare experience

Job Duties -
Key Responsibilities:
Develop high quality software modules for Cotiviti Inc. product suite
Conduct unit and integration testing
Analyze and resolve software related issues originating from internal or external customers
Analyze requirements and specifications and create detailed designs for implementation
Independently troubleshoot and resolve issues with minimal or no guidance
Collaborate closely with offshore development teams to provide technical translation of business requirements and ensure software construction adheres to Cotiviti best practices coding techniques
Execute all appropriate facets of the Cotiviti Software Development Lifecycle with a desire for continuous improvement
Mentor other developers
Ability to work in a cross-functional global team environment
Complete all responsibilities as outlined in the annual performance review and/or goal setting. Required
Complete all special projects and other duties as assigned.
Must be able to perform duties with or without reasonable accommodation.

Job Requirements -
Qualifications:
Software Engineer Big Data
5 years in Python/PySpark
5 years optimizing Python/PySpark jobs in a hadoop ecosystem
5 years working with large data sets and pipelines using tools and libraries of Hadoop ecosystem such as Spark HDFS YARN Hive and Oozie.
5 years with designing and developing cloud applications: AWS OCI or similar.
5 years in distributed/cluster computing concepts.
5 years with relational databases: MS SQL Server or similar
3 years with NoSQL databases: HBASE (preferred)
3 years in creating and consuming RESTful Web Services
5 years in developing multi-threaded applications; Concurrency Parallelism Locking Strategies and Merging Datasets.
5 years in Memory Management Garbage Collection & Performance Tuning.
Strong knowledge of shell scripting and file systems.
Preferred: Knowledge of CI tools like Git Maven SBT Jenkins and Artifactory/Nexus
Knowledge of building microservices and thorough understanding of service-oriented architecture
Knowledge in container orchestration platforms and related technologies such as Docker Kubernetes OpenShift.
Understanding of prevalent Software Development Lifecycle Methodologies with specific exposure or participation in Agile/Scrum techniques
Strong knowledge and application of SAFe agile practices preferred.
Flexible work schedule.
Experience with project management tools like JIRA.
Strong analytical skills
Excellent verbal listening and written communication skills
Ability to multitask and prioritize projects to meet scheduled dea

Desired Skills & Experience -
Healthcare Experience isnt a requirement but very high on the Clients nice to have. Those candidates will take priority.

Required Skills : Engineering

Basic Qualification :

Additional Skills :

Background Check : No

Drug Screen : No