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 Data Engineer with 4–7 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.
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Experience in Azure cloud platforms like Advanced Python Programming, Databricks, Azure SQL , Data factory (ADF), Data Lake, Data storage, SSIS.
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Create and deploy scalable ETL/ELT pipelines with Azure Databricks by utilizing PySpark and SQL.
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Create Delta Lake tables with ACID transactions and schema evolution to support real-time and batch processing.
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Experience in Unity Catalog for centralized data governance, access control, and data lineage tracking.
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Independently analyse, solve, and correct issues in real time, providing problem resolution end-to-end.
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Develop unit tests to be able to test them automatically.
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Use SOLID development principles to maintain data integrity and cohesiveness.
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Interact with product owner and business representatives to determine and satisfy needs.
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Sense of ownership and pride in your performance and its impact on company's success.
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Critical thinker and problem-solving skills.
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Team player.
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Good time-management skills.
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Great interpersonal and communication skills.
Mandatory Qualifications:
- 4-7 years of experience as a Data Engineer.
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Self-driven with minimal supervision.
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Proven experience with T-SQL programming, Azure Databricks, Spark (PySpark/Scala), Delta Lake, Unity Catalog, ADLS Gen2
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Microsoft TFS, Visual Studio, Devops exposure.
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Experience with cloud platforms such as Azure or any.
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Analytical, problem-solving mindset.
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HealthCare domain knowledge
Preferred Qualifications
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Healthcare Domain Knowledge
