Azure Data Engineer

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Azure Data Engineer

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.

Are you ready to find Azure Data Engineer?

Azure Data Engineers design, implement, and manage the data solutions that are built on Azure's vast suite of data services. Their primary aim is to ensure that data is available, reliable, and accessible to all stakeholders and applications that need it.

An Azure Data Engineer should have a holistic understanding of Azure's data services, strong SQL skills, and knowledge of various data tools and languages such as Python or Spark. They play a pivotal role in a company's data strategy, ensuring that data is not just available, but also reliable, secure, and valuable.

Anicalls's consultants Specializes in designing and implementing scalable and secure data solutions using Azure services like Azure Data Factory, Azure Synapse Analytics, and Azure Data Lake.

Roles & Responsibilities

Data Integration and Workflow Design

Develop, deploy, and maintain ETL/ELT pipelines using Azure Data Factory. Integrate various data sources, including but not limited to relational, non-relational, on-premises, and cloud-based sources.

Database Management and Optimization

Design and implement relational databases using Azure SQL Database and non-relational databases using services like Azure Cosmos DB. Monitor, manage, and optimize databases to ensure high availability, performance, scalability, and security.

Data Lake & Big Data Implementations

Set up, configure, and manage Azure Data Lake Storage solutions. Implement big data solutions using Azure Databricks and Azure HDInsight.

Data Security and Compliance

Ensure that all data solutions meet security and compliance requirements. Implement data masking, encryption (using Azure Key Vault), and manage access using Azure Active Directory.

Streaming Data Solutions

Design and implement real-time data streaming solutions using Azure Stream Analytics. Integrate IoT data streams and ensure real-time processing and analytics.

Data Exploration and Analysis

Leverage Azure Synapse Analytics to explore and analyze data. Integrate with data visualization tools like Power BI for reporting and dashboarding.

Collaboration and Stakeholder Management

Collaborate with data scientists, BI developers, and other stakeholders to ensure the data platform meets business needs. Translate business requirements into technical specifications and architectural designs.

Infrastructure Management

Provision and manage Azure resources using Azure Resource Manager templates, Azure DevOps, or Terraform. Monitor resource usage and costs, optimizing where necessary.

Continuous Learning

Stay updated with the latest developments in Azure data services and best practices. Learn and integrate new Azure services/tools as they become available and relevant.

Benefits With Anicalls

Our Commitments

Guaranteed Talent Satisfaction

Flexible Engagement Terms

Performance Review Report Policy


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