Your role

• Develop and maintain data pipelines tailored to Azure environments, ensuring security and compliance with client data standards.
• Collaborate with cross-functional teams to gather data requirements, translate them into technical specifications, and develop data models.
• Leverage Python libraries for data handling, enhancing processing efficiency and robustness.
• Ensure SQL workflows meet client performance standards and handle large data volumes effectively.
• Build and maintain reliable ETL pipelines, supporting full and incremental loads and ensuring data integrity and scalability in ETL processes.
• Implement CI/CD pipelines for automated deployment and testing of data solutions.
• Optimize and tune data workflows and processes to ensure high performance and reliability.
• Monitor, troubleshoot, and optimize data processes for performance and reliability.
• Document data infrastructure, workflows, and maintain industry knowledge in data engineering and cloud tech.

Your Profile

• Bachelor’s degree in computer science, Information Systems, or a related field
• 4+ years of data engineering experience with a strong focus on Azure data services for client-centric solutions.
• Extensive expertise in Azure Synapse, Data Lake Storage, Data Factory, Databricks, and Blob Storage, ensuring secure, compliant data handling for clients.
• Good interpersonal communication skills
• Skilled in designing and maintaining scalable data pipelines tailored to client needs in Azure environments.
• Proficient in SQL and PL/SQL for complex data processing and client-specific analytics.