Azure Data Engineer

2 weeks ago

Bengaluru Chennai Hyderabad, India Inumellas Consultancy Services Full time ₹ 12,00,000 - ₹ 36,00,000 per year

Exp - 6 to 10 Yrs

Position - Permanent FTE with client

Client - Global Leader in Data Analytics & AI

Location - Bengaluru, Hyderabad or Chennai

Notice Period - Immediate to 30 days only

Interviews - L1 (Virtual) & L2 (In-Person Face-to-Face)

Role Overview:

We are seeking street-smart and technically strong Senior Data Engineers / Leads who can take ownership of designing and developing cutting-edge data and AI platforms using Azure-native technologies and Databricks. You will play a critical role in building scalable data pipelines, modern data architectures, and intelligent analytics solutions.

Key Responsibilities:

  • Design and implement scalable, metadata-driven frameworks for data ingestion, quality, and transformation across both batch and streaming datasets.
  • Develop and optimize end-to-end data pipelines to process structured and unstructured data, enabling the creation of analytical data products.
  • Build robust exception handling, logging, and monitoring mechanisms for better observability and operational support.
  • Take ownership of complex modules and lead the development of critical data workflows and components.
  • Provide guidance to data engineers and peers on best practices.
  • Collaborate with cross-functional teams including business consultants, data architects, scientists, and application developers to deliver impactful analytics solutions.

Skills & Experience:

  • 6+ years of overall technical experience, with a minimum of 3 years of hands-on experience with Microsoft Azure and Databricks.
  • Proven experience delivering at least one end-to-end Data Lakehouse solution on Azure Databricks using the Medallion Architecture.
  • Strong working knowledge of the Databricks ecosystem, including: PySpark, Notebooks, Structured Streaming, Unity Catalog, Delta Live Tables, Workflows, and SQL Warehouse.
  • Advanced programming, unit testing, and debugging skills in Python and SQL.
  • Hands-on experience with Azure-native services such as: Azure Data Factory, ADLS Gen2, Azure SQL Database, and Event Hub.
  • Solid understanding of data modeling techniques, including both Dimensional and Third Normal Form (3NF) models.
  • Exposure to developing LLM/Generative AI-powered applications.
  • Must have excellent understanding of CI/CD workflows using Azure DevOps.
  • Bonus: Knowledge of Azure infrastructure, including provisioning, networking, security, and governance.

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