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Data Engineer | PySpark | Databricks | Azure Data Factory (Pan India)

2 - 5 years

Hyderabad Pune Bengaluru

Posted:1 week ago

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Job Description

Roles & Responsibilities

  • Design, develop, and maintain data pipelines using Azure Data Factory (ADF).
  • Build scalable data processing solutions using Azure Databricks, Python, and PySpark.
  • Develop ETL/ELT workflows for data ingestion, transformation, and loading.
  • Work with Azure Data Lake Storage (ADLS), Azure SQL, and other Azure data services.
  • Optimize Spark jobs and Databricks notebooks for performance and scalability.
  • Implement data quality checks, validation rules, and monitoring processes.
  • Create and manage end-to-end data integration solutions across multiple data sources.
  • Collaborate with business stakeholders and data teams to understand data requirements.
  • Troubleshoot and resolve data pipeline and performance issues.
  • Follow coding standards, version control, and CI/CD best practices.
  • Support data warehousing and analytics initiatives.
  • Prepare technical documentation and maintain deployment artifacts.

Skills Required

SQL Delta Factory Oracle ADF Elt Data Data Engineering Data warehousing

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Job Type

Full Time

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