
Principal Data Solutions Specialist
1 day ago
Job Title: Data Engineer
Location: Hyderabad, India
Employment Type: Full-time
Experience: 4 to 7 Years
About Us
We are transforming the insurance industry by developing innovative solutions. We focus on modernizing systems to create scalable platforms that streamline operations for clients. As part of our strategic growth, we are focused on platform modernization — transitioning legacy systems to modern architectures that support scalability and reliability.
Position Overview:
Seeking a self-driven Data Engineer with 4–7 years of experience to build and optimize ETL/ELT pipelines using Azure Databricks, PySpark, and Delta Lake. The role involves working across 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.
Responsibilities:
- Work with different teams to develop all quality database programming requirements of the sprint.
- Experience in Azure cloud platforms like 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 analyze, solve, and correct issues in real time, providing problem resolution end-to-end.
- Develop unit tests to be able to test them automatically.
- Use development principles to maintain data integrity and cohesiveness.
- Interact with product owners and business representatives to determine and satisfy needs.
- Sense of ownership and pride in your performance and its impact on company success.
- Critical thinker and problem-solving skills.
- Team player.
- Good time-management skills.
- Great interpersonal and communication skills.
Requirements:
- 4-7 years of experience as a 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 include Healthcare domain knowledge
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