Lead Data Engineer

Job Title: Lead Data Engineer

Location: Hyderabad, India

Employment Type: Full-time

About NationsBenefits:

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 back office functions in the insurance domain.
Position Overview:
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.

• Work with different scrum teams to develop all the quality database programming requirements of the sprint.
• Experience in Azure cloud platforms like Advanced Python Programming, Databricks, Azure SQL , Data factory (ADF), Data Lake, Data storage, SSIS.
• Create and deploy scalable ETL/ELT pipelines with Azure Databricks by utilizing PySpark and SQL.
• Create Delta Lake tables with ACID transactions and schema evolution to support real-time and batch processing.
• Experience in Unity Catalog for centralized data governance, access control, and data lineage tracking.
• Independently analyse, solve, and correct issues in real time, providing problem resolution end-to-end.
• Develop unit tests to be able to test them automatically.
• Use SOLID development principles to maintain data integrity and cohesiveness.
  Mandatory Qualifications:
• 10+ years of experience as a Lead Data Engineer.
• Self-driven with minimal supervision.
• Proven experience with T-SQL programming, Azure Databricks, Spark (PySpark/Scala), Delta Lake, Unity Catalog, ADLS Gen2
• Microsoft TFS, Visual Studio, Devops exposure.
• Experience with cloud platforms such as Azure or any.
• Analytical, problem-solving mindset

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.