Lead Data Engineer

Humana Inc. is committed to putting health first for their teammates, customers, and the community. They are seeking a Lead Data Engineer to design, build, and maintain data processing architectures and solutions that enable the conversion of data to insights at an enterprise scale.

Responsibilities:

• This lead will design and develop applications using Data engineering related tech
• 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
• Provides the strategy and design for projects associated with their technology domain including, upgrades and deployments
• 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:

• 12 + years of Data engineering experience with Hands-on experience with Data Lakes, Event Streaming, Data Fabric, DevOps
• 8 + years of experience designing software applications using best practices and design first approach
• 8 + 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
• Demonstrates a strong commitment to team success by proactively contributing and taking initiative to ensure the delivery of high-quality 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