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Software Engineering Lead Analyst - HIH - Evernorth
Position Overview
Evernorth, a leading Health Services company, is looking for exceptional data engineers/developers in our Data and Analytics organization. In this role, you will actively participate with your development team on initiatives that support Evernorth's strategic goals as well as subject matter experts to understand business logic you will be engineering. As a software engineer, you will help develop an integrated architectural strategy to support next-generation capabilities on an enterprise-wide scale.
You will work in an agile environment, delivering user-oriented products.
The ideal candidate will work in a team workplace that demands technical excellence, whose members are expected to hold each other accountable for the overall success of the end product. Focus for this team is on the delivery of innovative solutions to complex problems, but also with a mind to drive simplicity in refining and supporting of the solution by others
Roles & Responsibilities
- Design and implement ETL processes to extract, transform, and load data from various sources.
- Conduct research and perform proof of concept (POC) activities
- Continuosly learn and master new technologies
- Use vibe coding tools to improved development velocity
- Collaborate with cross-functional teams to understand data requirements and deliver solutions.
- Optimize and maintain existing ETL workflows for improved efficiency and performance.
- Ensure data integrity and quality through rigorous testing and validation.
- Create and implement best practices to ensure successful delivery and support of large data transformation layer.
- Collaborate with other team members to ensure timely and successful delivery of production ready applications.
- Prepare detailed technical documentation.
Qualifications Required Experience & Education:
- 5 - 8 years of relevant ETL development.
- Hands-on experience with building data integration solutions.
- Experience with both NOSql and Relational Database Development – e.g. Mongo, Postgres, Teradata, SQL Server required.
- Experience with Data Warehouse, Data Lake, and Lake House technologies
- Strong understanding of database concepts and experience with query optimization and performance tuning.
- Hands-on experience with scripting languages like Python.
- Hands on experience with Databricks and Airflow monitoring.
- Excellent problem-solving skills and the ability to analyze complex issues and implement effective solutions.