Senior Azure Data Engineer

• Help design, build and continuously improve the clients online platform.
• Research, suggest and implement new technology solutions following best practices/standards.
• Take responsibility for the resiliency and availability of different products.
• Be a productive member of the team.

• 3+ years of experience in Python development.
• Strong experience with SQL and NoSQL databases.
• Hands-on experience with Databricks, PySpark, including batch and structured streaming.
• Experience working with Azure services including ADLS, Azure Databricks, Event Hub, Azure SQL Data Warehouse, Azure Functions, and Serverless Architecture.
• Good understanding of Terraform; hands-on experience is preferred.
• Experience designing and implementing scalable data engineering solutions based on high-level architecture.
• Experience building data ingestion, transformation, and preprocessing pipelines using Azure Databricks.
• Ability to work with customers to understand data pipeline, data lake, and migration requirements.
• Experience monitoring Azure DevOps and Databricks pipelines and supporting production environments.
• Willingness to learn and work with Azure monitoring and logging services.
• Experience with ARM Templates and Azure Data Factory.
• Knowledge of Kubernetes.
• Exposure to Machine Learning and AI.

• A challenging, innovating environment.
• Opportunities for learning where needed.

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