Roles and Responsibilities

• Help us implement our data strategy, design, develop, and maintain efficient data pipelines in Azure.
• Automate data workflows for both real-time and batch processing.
• Integrate data from various sources and sync data to various systems.
• Implement data quality checks and ensure data integrity, consistency, and reliability.
• Help build the required infrastructure and DevOps pipelines.

Required Experience

• Fluent with Azure/ Power Platform data technologies like Data Factory, Data Lake Storage, Data Lake Storage. SQL Database, Data Explorer, Synapse Analytics, Purview
• Azure Identity management, such as AKV and UAMI.
• Fluent with Big Data technologies like Spark, Kafka, and Hive,
• Demonstrable knowledge of applying data engineering processes and principles in an Agile environment.
• Experience in setting up CI/CD pipelines like GitLab/TeamCity/Jenkins.
• Ability to work with analysts and other subject matter experts, in a globally distributed team, to test changes to our trading application suite.
• Prior experience working in a fast-paced global organization with teams in various geographical locations.
• Ability to work with analysts and other subject matter experts, in a globally distributed team, to test changes to our trading application suite.

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