Software Engineering Lead Analyst - HIH - Evernorth

Debtt Group; India; On-site; INR 1,400,000 - 2,000,000; Full time

Job summary

Debtt Group is seeking a Software Engineering Lead Analyst in India to lead ETL development and data integration solutions. The role requires expertise in Databricks, Python, and collaboration with cross-functional teams to ensure data quality and efficiency.

You will focus on building production-ready pipelines in an agile environment while leveraging tools such as Airflow and Denodo for automation and monitoring. Candidates must have a strong background in data engineering and experience with both NoSQL and relational databases.

Qualifications

• 5–8 years of relevant ETL development experience.
• 4+ years with Databricks and Python.
• Hands-on experience with NoSQL and relational databases.
• Experience with Data Warehouse and Data Lake technologies.

Responsibilities

• Design and implement ETL processes for data extraction and transformation.
• Conduct POC activities to validate technologies.
• Collaborate with cross-functional teams to deliver solutions.
• Optimize and maintain ETL workflows for efficiency.

Skills

ETL Development

Data Engineering

Data Integration

Data Virtualization

Query Optimization

Performance Tuning

Scripting

CI/CD

Technical Documentation

Agile

Tools

Databricks

Python

Denodo

Airflow

Tableau

Job description

Software Engineering Lead Analyst - HIH - Evernorth

Mentions using "vibe coding" tools to improve development velocity; explicitly calls out vibe coding usage.

About the Role

Lead software engineer on Evernorth's Data and Analytics team responsible for designing and implementing ETL and data integration solutions. The role focuses on building, optimizing, and supporting enterprise-scale data transformation pipelines using Databricks, Python, Denodo, and cloud platforms.

Job Description

Role

Evernorth is seeking a Software Engineering Lead Analyst to join the Data and Analytics organization. The role focuses on developing integrated architectural strategies and delivering production-ready ETL and data integration solutions that support enterprise-scale capabilities in an agile environment.

Key Responsibilities

• Design and implement ETL processes to extract, transform, and load data from various sources.
• Conduct research and perform proof-of-concept (POC) activities to validate approaches and technologies.
• Use vibe coding tools to improve development velocity.
• Collaborate with cross-functional teams and subject matter experts to understand data requirements and deliver solutions.
• Optimize and maintain ETL workflows for efficiency and performance; ensure data integrity and quality through testing and validation.
• Create and implement best practices for large data transformation layers and prepare detailed technical documentation.
• Monitor and support production applications and workflows.
• Automate code and artifact migration across environments and support CI/CD-based promotion and deployment.

Requirements

• 5–8 years of relevant ETL development experience.
• 4+ years of experience with Databricks and 4+ years with Python.
• Hands-on experience building data integration solutions and working with both NoSQL and relational databases (examples: Mongo, Postgres, Teradata, SQL Server).
• Experience with Data Warehouse, Data Lake, and Lake House technologies; strong database concepts, query optimization, and performance tuning skills.
• Hands-on experience with Airflow monitoring and scripting languages like Python.
• Experience administering and configuring Denodo Platform components including VDP server, view creation, RBAC, cache management, and Denodo Solution Manager for environment promotion and deployment management.
• Experience configuring/tuning Presto/MPP within Denodo and integrating Denodo with SSO providers (SAML/OAuth) such as Okta.
• Experience connecting Denodo via JDBC/ODBC to BI tools (e.g., Tableau).
• Experience automating deployments across DEV/UAT/PROD using CI/CD pipelines, scripting, or platform-native tools (e.g., Denodo Solution Manager, Databricks Repos, AWS CodePipeline).

Preferred Qualifications

• Certifications: Databricks, AWS Developer Associate (or similar), Denodo Platform 8.0+ certification or equivalent hands-on admin experience.
• Experience deploying and managing Denodo on AWS EC2, including OS-level configuration, JVM tuning, and log management.

Skills

ETL Development Data Engineering Data Integration Data Virtualization Database Development Query Optimization Performance Tuning Scripting Monitoring CI/CD Technical Documentation Problem Solving Collaboration Agile Research and Proof of Concept Data Quality and Validation Environment Promotion and Deployment Governance SSO/Identity Integration