Skilled Data Solutions Architect

4 days ago

Malappuram, Kerala, India beBeeDataEngineer Full time ₹ 1,70,76,000 - ₹ 2,51,11,000

We are seeking a skilled Data Engineer to build 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.

  • Develop high-quality database programming requirements for the sprint.
  • Experience in Azure cloud platforms, including 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.
  • Analyse and solve issues independently, providing end-to-end problem resolution.
  • Develop unit tests for automatic testing.
  • Apply SOLID development principles to maintain data integrity and cohesiveness.
  • Interact with product owners and business representatives to determine needs.

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.

Benefits:

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.

This role offers a unique opportunity to work on innovative projects and contribute to the transformation of the insurance industry. Join us to be part of a dynamic team and shape the future of data engineering.

Key Responsibilities:

  • Design and implement data pipelines using Azure Databricks.
  • Collaborate with scrum teams to develop data solutions.
  • Ensure data governance and quality using Unity Catalog.
  • Support real-time and batch processing using Delta Lake.

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