Unlocking Business Insights: Data Engineer Position

2 days ago


Dindigul, Tamil Nadu, India beBeeDataEngineer Full time ₹ 1,30,15,200 - ₹ 2,59,30,400
Data Engineering Role Overview

We are seeking a seasoned data engineer to join our team and contribute to the design, implementation, and maintenance of large-scale data systems.

The ideal candidate will have expertise in Azure Databricks, Apache Spark, and Azure Functions. They should be able to develop scalable data pipelines, integrate Databricks with other Azure services, and implement CI/CD pipelines using Azure DevOps.

  • Key Responsibilities:
  • Design and implement data pipelines using Azure Databricks (PySpark/Scala).
  • Develop and deploy Azure Function Apps for event-driven data processing and automation.
  • Integrate Databricks with Azure Data Lake Storage, Synapse, Event Hubs, and Key Vault.
  • Optimise Spark jobs for performance and cost-efficiency.
  • Implement CI/CD pipelines using Azure DevOps for Databricks notebooks and Function Apps.
Required Skills & Qualifications:
  • Strong experience with Azure Databricks and Apache Spark.
  • Proficiency in developing Azure Function Apps using C#, Python, or JavaScript.
  • Solid understanding of Azure Data Lake, Event Hubs, Blob Storage, and Key Vault.
  • Experience with CI/CD pipelines, Git, and Infrastructure as Code (ARM/Bicep/Terraform).
  • Familiarity with data modelling, ETL/ELT processes, and data governance.
Benefits:
  • Opportunity to work on complex data engineering projects.
  • Collaborative environment with experienced professionals.
  • Possible certification opportunities through Microsoft.


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