Company Overview and Culture 

EXL (NASDAQ: EXLS) is a global analytics and digital solutions company that partners with clients to improve business outcomes and unlock growth. Bringing together deep domain expertise with robust data, powerful analytics, cloud, and AI, we create agile, scalable solutions and execute complex operations for the world’s leading corporations in industries including insurance, healthcare, banking and financial services, media, and retail, among others. Focused on creating value from data for driving faster decision-making and transforming operating models, EXL was founded on the core values of innovation, collaboration, excellence, integrity and respect. Headquartered in New York, our team is over 40,000 strong, with more than 50 offices spanning six continents. For information, visit www.exlservice.com.

For the past 20 years, EXL has worked as a strategic partner and won awards in its approach to helping its clients solve business challenges such as digital transformation, improving customer experience, streamlining business operations, taking products to market faster, improving corporate finance, building models to become compliant more quickly with new regulations, turning volumes of data into business opportunities, creating new channels for growth and better adapting to change. The business operates within four business units: Insurance, Health, Analytics, and Emerging businesses. 

About EXL Health

We leverage Human Ingenuity and domain expertise to help clients improve outcomes, optimize revenue and maximize profitability across the healthcare ecosystem.  Technology, data and analytics are at the heart of our solutions.  We collaborate closely with clients to transform how care is delivered, managed and paid.  

EXL Health combines deep domain expertise with analytic insights and technology-enabled services to transform how care is delivered, managed, and paid.  Leveraging Human Ingenuity, we collaborate with our clients to solve complex problems and enhance their performance with nimble, scalable solutions.  With data on more than 260 million lives, we work with hundreds of organizations across the healthcare ecosystem.   

We help payers improve member care quality and network performance, manage population risk, and optimize revenue while decreasing administrative waste and reducing health claim expenditures. We help Pharmacy Benefit Managers (PBMs) manage member drug benefits and reduce drug spending while maintaining quality. We help provider organizations proactively manage risk, improve outcomes, and optimize network performance. We provide Life Sciences companies with enriched data, insights through advanced analytics and data visualization tools to get the right treatment to the right patient at the right time.

Basic Functions

• 8+ Years of experience in coding languages such as Python & PySpark
• Minimum 8 years of experience in using Azure Cloud Services such Synapse & Data Bricks & Data Factory
• Must possess OOP’s concepts and will require converting Python code written for analytical models to more stable, reliable & performant/efficient Python/PySpark code using OOP’s
• Produce scalable and flexible, high-quality code that satisfies both functional and non-functional requirements.
• Develop, deploy, test, and maintain technical assets in a highly secure and integrated enterprise computing environment.
• Responsible for participating in architecture, data modeling, and overall design sessions.
• Co-ordinate with development & business teams to ensure the smooth execution of the project.
• Collaborate/communicate with on-site project team and business users as required.

Essential Functions

• Strong problem solving and analytical skills and the ability to “roll up your sleeves” and work to create timely solutions and resolutions, to validate, verify, communicate, and resolve application issues.
• Strong Knowledge of databricks
• Knowledge of working on US healthcare claims data.
• Adhere to SDLC
• Ability to work on multiple product features simultaneously.
• Quick learner with ability to understand product’s functionality end to end.
• Opportunity to try out bleeding edge technologies to provide POC, which will be evaluated and put on use if approved.
• Experience working in Agile methodologies (SCRUM) environment and familiar with iterative development cycles.

Required Skills 

• Knowledge on Python & PySpark
• Azure Cloud – Synapse & Data Bricks & Data Factory
• Good knowledge on MS SQL
• ETL – Extract, Transform & Load
• Migration from On Prem ETL process to ETL process on the Cloud

Skills Nice to Have

• Experience in SAS or Big Data Technologies such as Hadoop/Hive
• Stack overflow account score
• Technical blogs & technical write-ups
• Part of any open-source contributions

Education Requirements

• Bachelor's degree in computer or related field.

Work Requirements

Must be a US Citizen