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Azure Data Integration Engineer (DP600/700)
<p>The role involves building and managing data pipelines, troubleshooting issues, and ensuring data accuracy across various platforms such as Azure Synapse Analytics, Azure Data Lake Gen2, and SQL environments.<br></p> <p>This position requires extensive SQL experience and a strong background in PySpark development.</p><ul><li><strong>Certifications in Azure Data Fabric: DP-600 / DP-700</strong></li></ul> <p><strong>Responsibilities</strong></p> <p><strong>Data Engineering:</strong></p> <ul><li>Work with Azure Synapse Pipelines and PySpark for data transformation and pipeline management.</li><li>Perform data integration and schema updates in Delta Lake environments, ensuring smooth data flow and accurate reporting.</li><li>Work with our Azure DevOps team on CI/CD processes for deployment of Infrastructure as Code (IaC) and Workspace artifacts.</li><li>Develop custom solutions for our customers defined by our Data Architect and assist in improving our data solution patterns over time.</li></ul> <p><strong>Documentation</strong>:</p> <ul><li>Document ticket resolutions, testing protocols, and data validation processes.</li><li>Collaborate with other stakeholders to provide specifications and quotations for enhancements requested by customers.</li></ul> <p><strong>Ticket Management:</strong></p> <ul><li>Monitor the Jira ticket queue and respond to tickets as they are raised.</li><li>Understand ticket issues, utilizing extensive SQL, Synapse Analytics, and other tools to troubleshoot them.</li><li>Communicate effectively with customer users who raised the tickets and collaborate with other teams (e.g.<strong>, FinOps, Databricks</strong>) as needed to resolve issues.</li></ul> <p><strong>Troubleshooting and Support:</strong></p> <ul><li>Handle issues related to ETL pipeline failures, Delta Lake processing, or data inconsistencies in Synapse Analytics.</li><li>Provide prompt resolution to data pipeline and validation issues, ensuring data integrity and performance.</li></ul> <p><strong>Desired Skills & Requirements</strong></p> <p>Seeking a candidate with 5+ years of Dynamics 365 ecosystem experience with a strong PySpark development background. While various profiles may apply, we highly value a strong person-organization fit.</p> <p>Our ideal candidate possesses the following attributes and qualifications:</p> <ul><li>Extensive experience with SQL, including query writing and troubleshooting in Azure SQL, Synapse Analytics, and Delta Lake environments.</li><li>Strong understanding and experience in implementing and supporting ETL processes, Data Lakes, and data engineering solutions.</li><li>Proficiency in using Azure Synapse Analytics, including workspace management, pipeline creation, and data flow management.</li><li>Hands-on experience with PySpark for data processing and automation.</li><li>Ability to use VPNs, MFA, RDP, jump boxes/jump hosts, etc., to operate within the customers secure environments.</li><li>Some experience with Azure DevOps CI/CD IaC and release pipelines.</li><li>Ability to communicate effectively both verbally and in writing, with strong problem-solving and analytical skills.</li><li>Understanding of the operation and underlying data structure of D365 Finance and Operations, Business Central, and Customer Engagement.</li><li>Experience with Data Engineering in Microsoft Fabric</li><li>Experience with Delta Lake and Azure data engineering concepts (e.g., ADLS, ADF, Synapse, AAD, Databricks).</li><li><strong>Certifications in Azure Data Fabric: DP-600 / DP-700</strong></li></ul> <p><strong>Why Join Us?</strong></p> <ul><li>Opportunity to work with innovative technologies in a dynamic environment where progressive work culture with a global perspective where your ideas truly matter, and growth opportunities are endless.</li><li>Work with the latest Microsoft Technologies alongside Dynamics professionals committed to driving customer success.</li><li>Enjoy the flexibility to work from anywhere</li><li>Work-life balance that suits your lifestyle.</li><li>Competitive salary and comprehensive benefits package.</li><li>Career growth and professional development opportunities.</li><li>A collaborative and inclusive work culture.</li></ul>
