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Software Engineering Lead Analyst - HIH - Evernorth

The Cigna Group

Software Engineering Lead Analyst - HIH - Evernorth

full-timePosted: Jul 30, 2026Updated: Aug 29, 2026India, Hyderabad

Job Description

Software Engineering Lead Analyst Position OverviewEvernorth, 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 environment 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 othersRoles & ResponsibilitiesDesign and implement ETL processes to extract, transform, and load data from various sources.Conduct research and perform proof of concept (POC) activitiesContinuously learn and master new technologiesUse vibe coding tools to improved development velocityCollaborate 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.QualificationsRequired Experience & Education: 5 - 8 years of relevant ETL development.4+ years of experience on Databricks.4+ years of experience on Python.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 technologiesStrong 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.Experience with Denodo Platform administration including VDP server configuration, data source setup, view creation (base views, derived views, interface views), role-based access control (RBAC), and cache management.Hands-on experience with Denodo Solution Manager for environment promotion, deployment management, and multi-environment lifecycle (DEV → PROD) governance.Experience configuring and tuning Presto/MPP engine within Denodo, including memory settings, concurrent query limits, and query cost optimization.Familiarity with Denodo SSO integration using SAML/OAuth providers (e.g., Okta) and managing user/group mappings across environments.Experience with Denodo JDBC/ODBC connectivity to BI tools such as Tableau, including driver configuration and connection troubleshooting.Hands-on experience in automating code/artifact migration across environments (DEV → UAT → PROD) using CI/CD pipelines, scripting, or platform-native tools such as Denodo Solution Manager, Databricks Repos, or AWS CodePipeline.Required Skills:Python, Databricks, Cloud Experience (AWS/Azure)Denodo VDP, Presto/MPP, Data VirtualizationPreferred Skills, Experience & Education:Data Virtualization tools, Databricks Certifications, Cloud Certification (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.About Evernorth Health ServicesEvernorth Health Services, a division of The Cigna Group, creates pharmacy, care and benefit solutions to improve health and increase vitality. We relentlessly innovate to make the prediction, prevention and treatment of illness and disease more accessible to millions of people. Join us in driving growth and improving lives.

Locations

  • India, Hyderabad

Skills Required

  • building data integration solutionsintermediate
  • both NOSqlintermediate
  • Data Warehouseintermediate
  • query optimizationintermediate
  • scripting languages like Pythonintermediate
  • Databricksintermediate
  • Denodo Solution Manager for environment promotionintermediate
  • Denodo SSO integration using SAML/OAuth providersintermediate
  • Denodo JDBC/ODBC connectivity to BI tools such as Tableauintermediate
  • automating code/artifact migration across environmentsintermediate

Required Qualifications

  • 5 - 8 years of relevant ETL development. (experience, 8 years)
  • 4+ years of experience on Databricks. (experience, 4 years)
  • 4+ years of experience on Python. (experience, 4 years)
  • Hands-on experience with building data integration solutions. (experience)
  • Experience with both NOSql and Relational Database Development – e.g. Mongo, Postgres, Teradata, SQL Server required. (experience)
  • Experience with Data Warehouse, Data Lake, and Lake House technologies (experience)
  • Strong understanding of database concepts and experience with query optimization and performance tuning. (experience)
  • Hands-on experience with scripting languages like Python. (experience)
  • Hands on experience with Databricks and Airflow monitoring. (experience)
  • Excellent problem-solving skills and the ability to analyze complex issues and implement effective solutions. (experience)
  • Experience with Denodo Platform administration including VDP server configuration, data source setup, view creation (base views, derived views, interface views), role-based access control (RBAC), and cache management. (experience)
  • Hands-on experience with Denodo Solution Manager for environment promotion, deployment management, and multi-environment lifecycle (DEV → PROD) governance. (experience)
  • Experience configuring and tuning Presto/MPP engine within Denodo, including memory settings, concurrent query limits, and query cost optimization. (experience)
  • Familiarity with Denodo SSO integration using SAML/OAuth providers (e.g., Okta) and managing user/group mappings across environments. (experience)
  • Experience with Denodo JDBC/ODBC connectivity to BI tools such as Tableau, including driver configuration and connection troubleshooting. (experience)
  • Hands-on experience in automating code/artifact migration across environments (DEV → UAT → PROD) using CI/CD pipelines, scripting, or platform-native tools such as Denodo Solution Manager, Databricks Repos, or AWS CodePipeline. (experience)
  • Python, Databricks, Cloud Experience (AWS/Azure) (experience)
  • Denodo VDP, Presto/MPP, Data Virtualization (experience)

Preferred Qualifications

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

Responsibilities

  • 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 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.

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