Senior Data Engineer

8 - 10 years

7 - 11 Lacs

Posted:1 day ago| Platform: Naukri logo

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Job Type

Full Time

Job Description

Key Responsibilities:

  • Optimize scalable data pipelines for ingestion, transformation, and loading of large datasets from diverse sources.
  • Utilize Azure Data Factory for orchestration and automation of ETL/ELT processes, ensuring efficient data flow.
  • Work extensively with Azure services such as Azure Blob Storage and Azure Data Lake Storage (ADLS Gen2) for efficient data storage and management.
  • Integrate and manage data flows using Azure Logic Apps for event-driven automation and workflow orchestration.
  • Develop and maintain robust SQL queries, stored procedures, and data models to support reporting and analytical requirements.
  • Implement and enforce data governance, quality, and security best practices.
  • Troubleshoot, debug, and optimize existing data pipelines and data infrastructure.

Key Skills :

  • Proven experience as a Senior Data Engineer, with a strong emphasis on designing and implementing solutions, production support, Maintenance projects & Data Engineering applications on Azure andSnowflake cloud platforms.
  • Mandatory:

    Expert-level proficiency with Snowflake for data warehousing and data platform development.
  • Mandatory:

    In-depth knowledge and practical experience with the Azure data ecosystem, including:
  • Azure Data Factory (ADF) for pipeline orchestration.
  • Azure Blob Storage and Azure Data Lake Storage (ADLS Gen2) for data storage.
  • Azure Logic Apps for workflow automation.
  • Exceptional command of SQL for complex querying, data manipulation, and performance tuning.
  • Familiarity with version control systems (e.g., Git).
  • Excellent problem-solving, analytical, and communication skills.
  • Ability to work independently and as part of a collaborative team in a fast-paced environment.

Nice to Have (Added Advantage):

  • Experience with dbt (data build tool) for data transformation and modeling. & Knowledge of other programming languages such as Python.
  • Familiarity with DevOps practices for data engineering (CI/CD).

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