Lead Data Engineer
Hyderabad, IN
- Pay
- Pay not listed
- Work setting
On-site — work setting source
Work setup in the employer’s listing: On-site
From the employer’s posting- Employment
Full-time — employment source
Location: Hyderabad, India Employment Type: Full-time About NationsBenefits:
Employment type in the employer’s listing: Full-Time
From the employer’s posting
What you’ll work on
Full postingBuild and deploy scalable ETL/ELT pipelines with Azure Databricks, PySpark and SQL
Create Delta Lake tables with ACID transactions and schema evolution
Work with scrum teams to deliver the database programming for each sprint
Manage data governance, access control and lineage with Unity Catalog
Analyse, solve and correct data issues end-to-end in real time
From the employer’s posting
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.
Work with different scrum teams to develop all the quality database programming requirements of the sprint.
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.
Tools in this posting
- Python
- Scala
- SQL
- Azure
- Databricks
- Delta Lake
- Spark
- PySpark
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
• 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:
About NationsBenefits
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
Posting record
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- Live
- First seen by us
- Sep 25, 2026 · 27 days ago
- Recorded sightings
- 82
- Last seen by us
- Oct 22, 2026
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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
Source details
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- Pay
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- Location & working pattern
Hyderabad, IN
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