Data Engineer - Azure

6 - 11 years

1 - 6 Lacs

Posted:1 week ago| Platform: Naukri logo

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Job Type

Full Time

Job Description

Location:

Key Responsibilities:

  • Design, develop, and maintain

    data pipelines

    using Azure Data Factory, Databricks (PySpark), and Synapse Analytics.
  • Implement and manage

    real-time data streaming

    solutions using Kafka.
  • Build and optimize

    data lake architectures

    and ensure best practices for scalability and security.
  • Develop efficient

    SQL and Python scripts

    for data transformation and cleansing.
  • Collaborate with data scientists, analysts, and other stakeholders to ensure data is readily available and reliable.
  • Utilize

    Azure DevOps and Git workflows

    for CI/CD and version control of data pipelines and scripts.
  • Monitor and troubleshoot data ingestion, transformation, and loading issues.

Must-Have Skills:

  • Azure Data Factory (ADF)
  • Azure Databricks (with PySpark)
  • Azure Synapse Analytics
  • Apache Kafka
  • Strong proficiency in SQL, Python, and Spark
  • Experience with Azure DevOps and Git workflows
  • Strong understanding of Data Lake architectures and cloud data engineering best practices

Good to Have:

  • Experience with data governance tools or frameworks
  • Exposure to Delta Lake, Parquet, or other data formats
  • Knowledge of performance tuning in distributed data environments
  • Familiarity with infrastructure-as-code (e.g., Terraform or ARM templates)

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