Overview
Data engineering lead analyst role within Evernorth's Data and Analytics organization, building ETL and data integration solutions in an agile team.
What you'll do
- Design and implement ETL processes to extract, transform, and load data from various sources.
- Conduct research and perform proof of concept (POC) activities.
- Continuously learn and master new technologies.
- Use vibe coding tools to improve 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.
What you'll need
- Hands-on experience with building data integration solutions.
- Experience with both NoSQL and Relational Database Development, e.g. Mongo, Postgres, Teradata, SQL Server.
- 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.
- Required skills: Python, Databricks, DevOps, basic cloud experience (AWS/Azure).
Nice to have
- Cloud certification (AWS Developer Associate or similar).
Read the full description and apply on the company’s own careers page.