Azure Data Factory Integration Specialist

Relentless Pursuit of Quality: Our unwavering commitment to quality is evident in every solution, strategy, and collaboration, making excellence a given.

On Boarding Process

  • 1
    Job description

    Providing a clear and comprehensive overview of the role's responsibilities and expectations.

  • 2
    Curated Talent Shortlisting

    Thoughtfully selecting and presenting a tailored pool of skilled candidates.

  • 3
    In-depth Consultant Engagement

    Engaging candidates in thorough discussions to understand their expertise and alignment with client needs.

  • 4
    Seamless Integration into Client Team

    Ensuring a smooth transition and effective collaboration as the consultant becomes an integral part of the client's team.

On the hunt for Azure Data Factory Integration Specialist?

An Azure Data Factory Integration Specialist is a professional skilled in using Azure Data Factory, Microsoft's cloud-based data integration service. This role involves designing, constructing, deploying, and managing data integration solutions on the Azure platform.

The Azure Data Factory Integration Specialist plays a pivotal role in ensuring that an organization's data landscape is seamlessly connected, providing the foundation for reliable data insights in the Azure ecosystem.

Anicalls's consultants Integrates and orchestrates ETL processes across cloud and on-premises environments using Azure Data Factory in MSBI scenarios.

Roles & Responsibilities

Data Integration Pipelines

Design, develop, and deploy data-driven workflows in Azure Data Factory. Ensure data is moved, transformed, and processed between different sources and destinations efficiently.

Data Transformation

Implement data transformation solutions using Azure Data Factory's Mapping Data Flows. Optimize transformations to ensure performance and reliability.

Source and Destination Managemet

Connect and integrate diverse data sources, such as databases, file systems, and cloud-based data stores, with Azure Data Factory.

Monitoring & Management

Monitor pipeline performance, troubleshoot issues, and ensure data integration jobs complete successfully. Use Azure Monitor and other tools to set up alerts and metrics.


p> Implement security measures to protect data during integration processes. Ensure compliance with data privacy regulations and best practices.

Continuous Improvement

Optimize and enhance integration solutions to meet evolving data requirements. Stay updated on Azure Data Factory updates and new features.


Work closely with data architects, data scientists, and other stakeholders to ensure solutions meet business needs. Gather requirements and provide feedback to improve integration processes.


Document all integration solutions, workflows, and best practices for transparency and future reference.

Cost Management

Monitor and manage Azure resource utilization to ensure cost-effective operations.

Benefits With Anicalls

Our Commitments

Guaranteed Talent Satisfaction

Flexible Engagement Terms

Performance Review Report Policy


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