Azure Data Engineer

6 - 11 years

6 - 11 Lacs

Posted:1 day ago| Platform: Foundit logo

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Skills Required

Work Mode

On-site

Job Type

Full Time

Job Description

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 teamsincluding business consultants, data architects & scientists, and application developersto deliver impactful analytics solutions.

Required Qualifications:

  • 5+ years

    of overall technical experience, with a minimum of

    2 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.

Educational Background:

  • Bachelor's degree (B.E/B.Tech) in Computer Science, Information Technology, or a related field from a reputed institute (preferred).

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