Lead Sr Software Engineer(Cloudera Hadoop stack)-W2 only

About the role

The Senior Software Engineer is responsible for leading design and development of software applications and reusable software components for the Cotiviti Inc product suite, in compliance with predefined coding standards and technical design. This person will collaborate effectively and work with Senior Developers, QA, Product Owners, Project Management, and other stakeholders. Cotiviti develops highly innovative applications in healthcare analytics to generate performance, improvement opportunities and value for our clients.

Responsibilities

• Design and develop high quality, maintainable software modules for the Cotiviti product suite
• Conduct unit and integration testing using appropriate methodology and techniques
• Analyze requirements and specifications and create detailed designs for implementation
• Analyze and resolve software related issues originated from internal or external customers
• Continuously update professional knowledge of new technologies as selected and integrated into the Cotiviti, Inc. product suite
• Change control: enter, transcribe, record, store and maintain information in both written and electronic form
• Review software engineering approach to proposed solutions to ensure adherence to best practice
• Mentor team members in proper software engineering methods and techniques
• Complete all responsibilities as outlined in the annual performance review and/or goal setting
• Complete all special projects and other duties as required

Qualifications

• Bachelor's Degree in Computer Science, Information Technology, Information Systems, or related field
• 10+ years of experience with enterprise and application design patterns that are applied on Hadoop and Big data platforms in AWS
• Deep expertise in both on-premises Hadoop ecosystems and modern cloud-native big data solutions on AWS
• Hands-on experience with Cloudera Hadoop stack (HDFS, Hive, Spark, Oozie, Python)
• Proficiency in writing, maintaining, and troubleshooting shell scripts (Bash or similar) for automation and operational support
• Experience analyzing existing Cloudera Hadoop architecture, workflows, and data pipelines
• Ability to develop a comprehensive migration strategy to transfer data, processing logic, and applications to AWS services
• Experience designing target architecture using AWS big data services such as Amazon EMR, Airflow, Glue, Lambda
• Experience evaluating and selecting appropriate AWS tools for data ingestion, storage, processing, and analytics
• Experience overseeing migration processes, including data transfer, application re-platforming, and validation
• Ability to ensure new architecture meets performance, scalability, reliability, and security requirements
• Experience collaborating with developers, data engineers, DevOps, and stakeholders to ensure seamless migration
• Experience creating detailed technical documentation and migration runbooks
• Experience mentoring team members on AWS big data best practices
• Strong understanding of data security, compliance, and governance in the cloud
• Proven track record of migrating or modernizing big data workloads to AWS
• Experience with cloud automation and Infrastructure as Code (e.g. Terraform)
• Familiarity with XML/JSON data formats
• Knowledge of monitoring and logging tools
• 5+ years of experience with platform engineering tools such as Bitbucket, Gradle, Octopus, Artifactory

Preferred Qualifications

• AWS certifications (e.g., AWS Certified Solutions Architect, AWS Certified Big Data Specialty) are highly desirable
• Knowledge of healthcare data such as claims and entities such as providers, members and their relationship within the framework of a claim