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NationsBenefits, LLC in Hyderabad, India, is seeking a Lead Data Engineer to design and optimize scalable ETL/ELT pipelines using Azure Databricks, PySpark, and Delta Lake. You will govern data with Unity Catalog and support real-time and batch processing across scrum teams.
The role requires 7–10 years of experience, strong T-SQL, and hands-on Azure cloud tooling. Healthcare industry exposure is a plus, with a focus on data integrity and scalable solutions.
Job Title: Lead Data Engineer
Experience: 7-10 Years
Location: Hyderabad, India
Employment Type: Full-time
At NationsBenefits, we are leading the transformation of the insurance industry by developing innovative benefits management solutions. We focus on modernizing complex back-office systems to create scalable, secure, and high-performing platforms that streamline operations for our clients. As part of our strategic growth, we are focused on platform modernization — transitioning legacy systems to modern, cloud-native architectures that support the scalability, reliability, and high performance of core backoffice functions in the insurance domain.
We are seeking a self-driven Lead Data Engineer with 7–10 years of experience to build and optimize scalable ETL/ELT pipelines using Azure Databricks, PySpark, and Delta Lake. The role involves working across scrum teams to develop data solutions, ensure data governance with Unity Catalog, and support real-time and batch processing. Strong problem-solving skills, T-SQL expertise, and hands-on experience with Azure cloud tools are essential. Healthcare domain knowledge is a plus.