Data Engineer

Role & responsibilities :

• 5+ years of hands-on experience designing and building ETL pipelines, with a focus on Azure Data Factory and Microsoft Fabric services.
• Expertise in implementing CI/CD pipelines and automating deployment processes using Azure DevOps.
• Hands-on experience migrating data from on-premises databases to Azure Cloud environments, including Managed Instances.
• Proven track record of implementing version control systems and managing data pipeline architecture.
• Strong SQL skills for developing and optimizing queries, stored procedures, and database performance.
• Familiarity with Delta Lake, Synapse Analytics, or other MS Fabric-specific technologies.
• Experience working in large, agile teams to deliver data solutions in an iterative, collaborative environment.

Preferred Skills:

• Knowledge of Microsoft Fabric components such as Dataflows, Data Pipelines, and integration with Power BI for seamless analytics delivery.
• Understanding of data security practices, including data encryption and role-based access control in Azure.
• Experience with event-driven architectures using Azure Event Hubs or similar tools.
• Familiarity with DataOps principles to streamline pipeline monitoring and management.
• Excellent problem-solving skills and ability to quickly adapt to evolving project requirements.

Any Certifications required: Good to have any certification related to Fabric, Azure Cloud but not mandatory