Lead Data Engineer

NationsBenefits, LLC

Hyderabad

On-site

INR 3,000,000 - 5,400,000

Full time

14 days+

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Job summary

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.

Qualifications

  • 7-10 years of experience as a Lead Data Engineer.
  • Proven experience with T-SQL, Azure Databricks, Spark, and Delta Lake.
  • Hands-on with Unity Catalog for data governance and lineage.
  • Experience with ADLS Gen2 and Azure data services.
  • Strong problem-solving and collaboration across scrum teams.

Responsibilities

  • 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.
  • Interact with product owner and business representatives to determine and satisfy needs.
  • Sense of ownership and pride in your performance and its impact on company’s success.
  • Critical thinker and problem-solving skills.
  • Team player.
  • Good time-management skills.
  • Great interpersonal and communication skills.

Skills

T-SQL
Azure Databricks
PySpark
Delta Lake
Unity Catalog
ADLS Gen2
Spark
SQL

Tools

Azure Data Factory
Azure SQL
Data Lake Storage
DevOps

Job description

Job Title: Lead Data Engineer

Experience: 7-10 Years

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 backoffice 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.

Job Description
  • 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.
  • Interact with product owner and business representatives to determine and satisfy needs.
  • Sense of ownership and pride in your performance and its impact on company’s success.
  • Critical thinker and problem-solving skills.
  • Team player.
  • Good time-management skills.
  • Great interpersonal and communication skills.
Mandatory Qualifications
  • 7-10 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.
Preferred Qualifications
  • Healthcare domain knowledge.
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