Senior Cloud Data Solutions Architect

3 days ago

Kanpur, Uttar Pradesh, India beBeeDataEngineer Full time ₹ 14,40,000 - ₹ 1,81,44,000
Job Title: Data Engineer

We are seeking a self-driven professional to build and optimize scalable ETL/ELT pipelines using Azure Databricks, PySpark, and Delta Lake.

  • Work with different teams to develop all the quality database programming requirements of the sprint.
  • Experience in 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 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 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 success.
  • Critical thinker and problem-solving skills.
  • Team player.

Mandatory Qualifications:

  • 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.

Benefits:

At our organization, we are leading the transformation of the insurance industry by developing innovative solutions. We focus on modernizing complex systems to create scalable, secure, and high-performing platforms that streamline operations for clients. As part of our strategic growth, we are focused on platform modernization — transitioning legacy systems to modern, cloud-native architectures that support scalability, reliability, and high performance.

Preferred Qualifications:

  • Healthcare domain knowledge

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