Evernorth

Healthcare

SoftwareEngineeringSeniorAnalyst-HIH-Evernorth

₹18–28L ~AI est. Hyderabad, India FULL TIME Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Senior candidates.

The Brief

“Software Engineering Senior Analyst - HIH - Evernorth at Evernorth. Skills: Data Engineering, ETL/ELT, Databricks, SQL. Code data pipelines. Deploy data pipelines”

What You'll Achieve.

Meet delivery SLAs

Industry & Context.

Healthcare
Problems you'll solve

Troubleshoot failures; Remediate data issues; Troubleshoot performance; Troubleshoot cloud runtime issues

What They're Looking For.

Must Have

4+ years software engineering, Data engineering focus, Write and tune complex SQL, Build and support production data-engineering code, Run Spark workloads in Databricks, Build, schedule, and operate ETL/ELT pipelines, Build schemas, write optimized queries, Implement and optimize SQL workloads, Implement build/release automation, Build and operate data workloads on AWS, Profile and optimize SQL

Nice to Have

Advanced proficiency with Databricks, Knowledge of cloud architecture

What You'll Do.

Deploy data pipelines

Support data pipelines

Build ETL/ELT in Databricks

Write scalable SQL transformations

Integrate data from multiple sources

Own full pipeline lifecycle

Implement end-to-end Databricks jobs

Operate built pipelines

Schedule and orchestrate runs

Monitor clusters and job health

Troubleshoot failures

Remediate data issues

Automate deployments using CI/CD

Create operational runbooks

and deploy ETL pipelines

Develop and maintain data catalogues

Implement automated data-quality validations

Monitor and troubleshoot Databricks jobs

Tune and refactor existing ETL workflows

Define and promote engineering standards

Apply security and compliance controls

Manage and optimize cloud services

Automate pipeline scheduling

Evaluate emerging tools and patterns

Deliver proof-of-concepts

Stay current with new technologies

Develop and execute test strategies

Partner with cross-functional teams

Create and maintain technical documentation

How You'll Work.

Team & Collaboration

Cross-functional teams

Process & Methodology

CI/CD

Full Job Description

**About Evernorth** Evernorth℠ exists to elevate health for all, because we believe health is the starting point for human potential and progress. As champions of affordable, predictable, and simple health care, we solve the problems others don’t, won’t, or can’t. Our Innovation Hub in India enables us to work with world-class talent, expand our global footprint, strengthen our competitive position, and better deliver on our promises to stakeholders. We are passionate about making healthcare better by delivering solutions that make a real difference. We are always looking upward—and that starts with finding the right talent to help us get there. **Position Overview** Evernorth is seeking a build-and-operate Data Engineer/Developer to code, deploy, and support data pipelines within our Data & Analytics organization. You will build ETL/ELT in Databricks (Python/Spark), write scalable SQL transformations, and integrate data from multiple sources into curated, production-ready datasets. You will own the full pipeline lifecycle development, release, monitoring, and ongoing optimization to keep data flowing reliably for downstream systems. You will implement end-to-end Databricks jobs from ingestion through transformation and delivery, including reusable frameworks, data-quality checks, and unit/integration tests. You will operate what you build schedule and orchestrate runs, monitor clusters and job health, troubleshoot failures, and remediate data issues to meet delivery SLAs. You will continuously tune Spark code and pipeline design for performance and cost and automate deployments using CI/CD and operational runbooks. **_Responsibilities_** * Design, build, and deploy ETL pipelines to ingest, transform, and load data from multiple sources. * Develop and maintain data catalogues and metadata management to improve data discovery and governance. * Implement automated data-quality validations and monitoring to ensure accuracy, completeness, and consistency. * Monitor and

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