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Azure Data Factory Specialist

3 weeks ago

Varanasi, Uttar Pradesh, India beBeeDataFactory Full time ₹ 18,00,000 - ₹ 21,00,000

Protect businesses and organizations from cyber threats by designing, building, and maintaining Azure Data Factory pipelines for ETL and ELT processes.

About the Role

ThreatXIntel is a startup dedicated to protecting businesses and organizations from cyber threats. They take a proactive approach to security, continuously monitoring and testing digital environments to identify vulnerabilities.

The ideal consultant will have strong hands-on expertise in Azure ADF pipelines, data orchestration, and transformations to ensure smooth, scalable, and secure data flows across multiple sources and destinations.

Key Responsibilities
  • Design and Maintain Pipelines:
  • Build efficient and reliable Azure Data Factory pipelines for ETL and ELT processes.
  • Integrate Multiple Sources:
  • Integrate data from multiple sources (on-premise, cloud, structured, and unstructured).
  • Optimize Performance:
  • Optimize pipelines for performance, scalability, and cost efficiency.
  • Implement Transformations:
  • Implement data transformations, mapping, and workflow orchestration.
  • Configure Triggers:
  • Configure triggers, parameters, and dynamic pipelines in ADF.
  • Collaborate with data engineers, analysts, and business stakeholders to meet data requirements.
  • Ensure security, compliance, and monitoring of pipelines using Azure best practices.
  • Provide documentation and knowledge transfer to internal teams.
Qualifications
  • Proven hands-on experience with Azure Data Factory (ADF).
  • Strong knowledge of ETL/ELT processes, data integration, and pipeline design.
  • Familiarity with Azure services such as Data Lake, Synapse Analytics, SQL Database, and Key Vault.
  • Experience in parameterization, linked services, datasets, and integration runtimes.
  • Strong troubleshooting and optimization skills.
  • Excellent communication and problem-solving abilities.
Preferred Skills
  • Experience with Azure DevOps (CI/CD for ADF pipelines).
  • Knowledge of Azure Monitor / Log Analytics for pipeline monitoring.
  • Familiarity with JSON-based ADF configurations.
  • Understanding of data governance and security in Azure.