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Azure Developer

Roles & Responsibilities

  • Expertise in designing and implementing ETL data pipelines using Azure Data Factory, including performance tuning
  • Proficiency with ADF components: linked services, datasets, pipelines, triggers, and integration runtimes
  • Hands-on experience with PySpark and Azure Databricks for data transformations; ability to connect ADF with REST APIs for external data sources
  • Strong SQL skills and familiarity with Blob Storage and Azure SQL Database; experience with Git and CI/CD pipelines for automated deployments

Requirements:

  • Design, develop, and optimize data pipelines in Azure Data Factory to support ETL/ELT processes
  • Develop data transformations using PySpark/Azure Databricks and integrate REST APIs and external data sources with ADF
  • Implement and maintain CI/CD pipelines using Git for automated deployments; monitor pipeline health and troubleshoot using Azure Monitor and Log Analytics
  • Collaborate with stakeholders to ensure data quality, security, and efficient data access in Blob Storage and Azure SQL Database

Job description

Azure Data Factory Skillset,

Expertise in designing and implementing data pipelines for extracting, transforming, and loading (ETL) data, including performance tuning

Proficiency in linked services, datasets, pipelines, triggers, and integration runtimes

Hands-on experience with PySpark, Azure Databricks for data transformations

Ability to connect ADF with REST APIs for external data sources

Familiarity with Blob Storage, Azure SQL Database

Experience with Git, CI/CD pipelines for automated deployments

Ability to troubleshoot pipeline failures using Azure Monitor and Log Analytics

Strong SQL skills for querying and transforming data efficiently

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