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Urgent! Sr Data Engineer, Azure Databricks, Python, PySpark Job Opening In India, India – Now Hiring Confidential

Sr Data Engineer, Azure Databricks, Python, PySpark



Job description

Job Responsibilities:

  • Design, develop, and implement robust and scalable data pipelines using Azure Data Factory (ADF).
  • Efficiently extract, transform, and load (ETL) data from various disparate sources into Azure Data Lake Storage (ADLS).
  • Utilize Azure Databricks for advanced data processing, transformation, and analytics.
  • Develop complex data solutions and scripts primarily using Python and PySpark.
  • Collaborate with data scientists, analysts, and other engineering teams to understand data requirements and deliver high-quality data solutions.
  • Monitor, optimize, and troubleshoot data pipelines to ensure performance, reliability, and data integrity.
  • Implement best practices for data governance, security, and quality within the Azure ecosystem.

Required Skills:

  • Proficiency in designing, developing, and implementing data pipelines using Azure Data Factory.
  • Strong experience in extracting, transforming, and loading data from various sources into Azure Data Lake Storage (ADLS).

Good to have skills :

  • Hands-on experience with Azure Databricks.
  • Strong programming skills in Python.
  • Expertise in PySpark for big data processing.


Skills Required
Azure Data Factory, Azure Databricks, Python, Pyspark


Required Skill Profession

Computer Occupations



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