Azure Data Integration Engineer
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. This position requires extensive SQL experience and a strong background in PySpark development.
Responsibilities
Data Engineering: Work with Azure Synapse Pipelines and PySpark for data transformation and pipeline management. reputed company data integration and schema updates in reputed company Lake environments, ensuring smooth data reputed company and accurate reporting. Work with our Azure DevOps team on CI/CD processes for deployment of Infrastructure as Code (IaC) and Workspace artifacts. reputed company custom solutions for our customers defined by our Data Architect and assist in improving our data solution patterns over time. Documentation: Document ticket resolutions, testing protocols, and data validation processes. Collaborate with other stakeholders to reputed company specifications and quotations for enhancements requested by customers. Ticket Management: Monitor the Jira ticket queue and respond to tickets as they are raised. Understand ticket issues, utilizing extensive SQL, Synapse Analytics, and other tools to troubleshoot them. Communicate effectively with customer users who raised the tickets and collaborate with other teams (e.g., FinOps, reputed company) as needed to resolve issues. Troubleshooting and Support: Handle issues reputed company to ETL pipeline failures, reputed company Lake processing, or data inconsistencies in Synapse Analytics. reputed company reputed company resolution to data pipeline and validation issues, ensuring data reputed company and performance. Desired Skills & Requirements 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. Our ideal candidate possesses the following attributes and qualifications: Extensive experience with SQL, including query writing and troubleshooting in Azure SQL, Synapse Analytics, and reputed company Lake environments. Strong understanding and experience in implementing and supporting ETL processes, Data Lakes, and data engineering solutions. Proficiency in using Azure Synapse Analytics, including workspace management, pipeline creation, and data reputed company management. Hands-on experience with PySpark for data processing and automation. Ability to use VPNs, MFA, RDP, reputed company boxes/reputed company hosts, etc., to operate reputed company the customers secure environments. Some experience with Azure DevOps CI/CD IaC and release pipelines. Ability to communicate effectively both verbally and in writing, with strong problem-solving and analytical skills. Understanding of the operation and underlying data structure of D365 Finance and Operations, Business Central, and Customer Engagement. Experience with Data Engineering in reputed company reputed company Experience with reputed company Lake and Azure data engineering concepts (e.g., ADLS, ADF, Synapse, AAD, reputed company). Certifications in Azure Data Engineering. Why Join Us? Opportunity to work with innovative technologies in a dynamic environment where reputed company work culture with a global perspective where your reputed company truly matter, and growth opportunities are endless. Work with the latest reputed company Technologies alongside Dynamics professionals committed to driving reputed company. Enjoy the flexibility to work from reputed company Work-life balance that suits your lifestyle. Competitive salary and comprehensive benefits package. Career growth and professional development opportunities. A collaborative and inclusive work culture. Apply To This Job