Access to Vetted Talent
Save valuable time and resources by accessing a pool of candidates that have already undergone rigorous skill and background checks. Anicalls ensures that you receive profiles that align with your expectations and needs.
Providing a clear and comprehensive overview of the role's responsibilities and expectations.
Thoughtfully selecting and presenting a tailored pool of skilled candidates.
Engaging candidates in thorough discussions to understand their expertise and alignment with client needs.
Ensuring a smooth transition and effective collaboration as the consultant becomes an integral part of the client's team.
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.
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.
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.
Set up, configure, and manage Azure Data Lake Storage solutions. Implement big data solutions using Azure Databricks and Azure HDInsight.
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.
Design and implement real-time data streaming solutions using Azure Stream Analytics. Integrate IoT data streams and ensure real-time processing and analytics.
Leverage Azure Synapse Analytics to explore and analyze data. Integrate with data visualization tools like Power BI for reporting and dashboarding.
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.
Provision and manage Azure resources using Azure Resource Manager templates, Azure DevOps, or Terraform. Monitor resource usage and costs, optimizing where necessary.
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.