Key skills
Data engineeringPythonCloud solutionsEvent streamingData LakesDevOpsMetadata managementAgile methodologiesDockerKubernetesMachine learningGitHubGitLabSonarQubeJUnitTDDBDDSOAPUISeleniumMicroservicesReactAngularSQLAIArtificial IntelligenceMachine LearningMLOpsData EngineeringSnowflakeDatabricksKafkaAWSAzureOracleSQL ServerSoapUIEvent StreamingAgileCI/CDMentoring
About this role
Humana Inc. is committed to putting health first and is seeking a Senior Data Engineer who will design, build, and maintain data processing architectures and solutions. The role involves leveraging artificial intelligence, machine learning, and big-data techniques to transform data into actionable insights that enable Humana to better serve its members.
Responsibilities:
- Act as one of the primary point of contact for the team, build POCs, build quick prototypes with latest industry standard software libraries and scale it for the platform
- Design, code, test, debug and document programs using Agile development practices
- Develops new documentation and departmental technical procedures
- Makes decisions on moderately complex to complex issues regarding technical approach for project components, and work is performed without direction. Exercises considerable latitude in determining objectives and approaches to assignments
- Troubleshoots business and production issues by gathering information (for example, issue, impact, criticality, possible root cause); engaging support teams to assist in the resolution of issues; formulating an action plan; performing actions as designated in the plan; interpreting the results to determine further action; performs root cause analysis to prevent future occurrence of issues; and completing online documentation
- Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, mentoring other members of the engineering community
Requirements:
- 10 + years of Data engineering experience with Hands-on experience with Data Lakes, Event Streaming, Data Fabric, DevOps
- 6 + years of experience designing software applications using best practices and design first approach
- 6 + years of experience with Python, Azure Databricks, Pyshark, Snowflake
- Experience in event-based streaming using Kafka in various formats like Json or Avro
- Experience designing and developing cloud solutions using AWS, Azure or Google is a significant plus
- Experiencing leading engineering team/teams in end-to-end delivery
- Proficiency in federated data architectures (e.g., Data Mesh) and centralized models
- Strong experience with metadata management, data lineage, governance, discovery, and quality
- Experience in Database related tech like Oracle or Sql server
- You identify with the success of the team, and dive in to do whatever it takes to create the best work
- Experience analyzing existing applications and making modifications for new features while maintaining other existing functionalities
- Experience working with GitHub and/or GitLab, SonarQube, JUnit, designing unit test cases using TDD and BDD methodologies
- Experience using CI/CD pipelines and code quality tools
- Test driven mindset using frameworks like Junit, SOAPUI, Selenium and contract testing tools
- Expert knowledge of the Agile methodologies
- Experience in Docker and Kubernetes
- Familiarity with machine learning frameworks, tools and MLOps
- Experience with developing highly scalable and always available applications on large-scale distributed databases
- Experience in React or Angular
- Experience in micro services design and development
- Exposure to AI