Infrastructure Engineering Advisor

HIH – Infrastructure Engineering Advisor (Data Engineer)

ABOUT EVERNORTH: 

Evernorth℠ exists to elevate health for all, because we believe health is the starting point for human potential and progress. As champions for affordable, predictable and simple health care,
we solve the problems others don’t, won’t or can’t. 

Our innovation hub in India will allow us to work with the right talent, expand our global footprint, improve our competitive stance, and better deliver on our promises to stakeholders. We are passionate about making healthcare better by delivering world-class 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

In this Senior Data Engineer role, you will design and develop systems and datastores to help retrieve, process, and analyze large amounts of data.  Use advanced algorithms and computational techniques to develop state of the art solutions to extract insights and predict future trends for the Enterprise Operations Command Center.

The Evernorth℠Technology strategy is fully aligned with our business strategy, resulting in an opportunity for you to influence in various directions – this includes technology\business direction but also recruiting and mentoring employees and influencing selection of and relationships with vendor resources to ultimately build and contribute within a world class Delivery Vertical.

This is a hands-on position with visibility to the highest levels of Evernorth℠ management who are motivated to see the successful results of our efforts. The solution focuses on enabling this change using the latest technologies and development techniques

Section 3: Responsibilities

Clearly outline the primary duties and tasks associated with the role. Use action verbs (i.e., lead, drive, analyze, assess, research, etc.) to convey expectations.

Responsibilities

• Design and implement data integration solutions using tools such as Apache Airflow, Informatica, Python, and Snowflake.
• Develop and maintain ETL processes to ensure data is accurately and efficiently loaded into the data warehouse.
• Develop error handling, alerting, monitoring, and testing processes into data pipelines.
• Collaborate with cross-functional teams to understand data requirements and deliver solutions that meet business needs.
• Manage and optimize data pipelines for performance and scalability.
• Implement and manage DevOps practices in the Data Engineering environment, including version control with BitBucket and continuous integration/continuous deployment (CI/CD) with Jenkins.
• Develop and manage branching strategies to support multiple development streams.
• Ensure data quality and integrity through rigorous testing and validation.
• Work with databases and SQL to extract, transform, and load data.
• Integrate data from various APIs into the data warehouse and other data platforms.
• Participate in Agile development processes, including sprint planning, daily stand-ups, and retrospectives.
• Use Jira for task management and tracking progress.
• Be available for occasional on-call night/weekend support.

Qualifications

Required Skills:

• Strong python and SQL skills
• Experience building data pipelines in python
• Familiarity with one of the following technologies- JAVA, C#.NET
• Experience with extracting data from Rest APIs and ingesting it to a cloud data warehouse
• Experience working with S3 buckets and writing DAGs on Airflow
• Experience programmatically working with any cloud data warehouse
• Strong written and verbal communication skills with the ability to interact with all levels of the organization 
• Strong interpersonal/relationship management skills. 
• Strong time and project management skills 
• Familiarity with agile methodology like Scrum/Kanban

Required Experience & Education: 

• 8 to 11 Years of relevant experience required
• 11 to 13 Years of overall experience required
• Bachelor’s degree or equivalent preferred
• Experience with vendor management in an onshore/offshore model 
• Proven experience with architecture, design, and development of large-scale enterprise application solutions 

Desired Experience:  

• Experience with Python/R or other statistical programming language Understanding of statistics concepts (e.g. confidence intervals, hypothesis testing, regression analysis)
• Angular 
• Ability to think strategically, analyze and interpret market and consumer information
• Intense curiosity, high intellectual and analytical horsepower, passionate pursuit of analytics driven insights 

Location & Hours of Work

Equal Opportunity Statement

Evernorth is an Equal Opportunity Employer actively encouraging and supporting organization-wide involvement of staff in diversity, equity, and inclusion efforts to educate, inform and advance both internal practices and external work with diverse client populations.

About Evernorth Health Services