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.

Requirements

• Extensive experience with SQL, including query writing and troubleshooting in Azure SQL, Synapse Analytics, and Delta 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 flow management.
• Hands-on experience with PySpark for data processing and automation.
• Ability to use VPNs, MFA, RDP, jump boxes/jump hosts, etc., to operate within 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 Microsoft Fabric
• Experience with Delta Lake and Azure data engineering concepts (e.g., ADLS, ADF, Synapse, AAD, Databricks).
• Certifications in Azure Data Engineering.

Benefits

• Competitive salary and comprehensive benefits package.
• Career growth and professional development opportunities.
• A collaborative and inclusive work culture.