Data Engineer

• Develop a scalable data platform to support continuing increases in data volume and complexity
• Develop and maintain data pipelines to ingest, process, and curate large volumes of data using Spark, Kafka, Event Hubs, Azure Data Lake Storage, or similar technologies
• Support the infrastructure required for optimal ingestion, transformation, and storing of data
• Collaborate with data scientists to support the needs of advanced ML development
• Design and implement rigorous data observability, validation, governance, and quality checks
• Mentor and support junior engineers by providing guidance, coaching and educational opportunities
• Simplify, simplify, simplify… and document your work!

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