Lead Data Engineer
Hyderabad, IN
- Pay
- Salary not listed in the saved posting
- Work setup
- Unconfirmed
- Employment
Full-time — employment source
Location: Hyderabad, India Employment Type: Full-time About NationsBenefits:
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Tools in this posting
- Python
- SQL
- Azure
- Databricks
- Delta
- Spark
- PySpark
- Scala
Source — Tool mentions in context
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. 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
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. 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. 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
About NationsBenefits, LLC
At NationsBenefits, we are leading the transformation of the insurance industry by developing innovative benefits management solutions.
In the employer’s words · Read in context
Job description
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.
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.
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
Your next step
- Have your CV and examples of relevant work ready.
- Check the listed location, eligibility and core experience before starting.
- Ask the employer about the salary range before committing time to the process.
Complete your application on nationsbenefits.breezy.hr. The employer’s form will show what is required.
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Source & posting history
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- Pay
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- Location & working pattern
Hyderabad, IN
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- Status in our records
- Active
- First seen by us
- Sep 25, 2026
- Recorded sightings
- 52
- Last seen by us
- Oct 9, 2026
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