Data Engineer

• Architect and maintain robust, scalable, and secure data infrastructure on AWS leveraging Databricks
• Design, develop, and maintain data pipelines using Airbyte and custom-built services in Go to automate data ingestion and ETL
• Oversee creation and maintenance of the data lake, ensuring efficient storage, high data quality, partitioning, performance, monitoring and alerting
• Integrate tools like Airbyte with various data sources and build custom connectors in Go where necessary
• Optimize data pipelines and data lake storage for performance, scalability, low latency and high availability
• Implement data governance, security, access control, encryption, and monitoring best practices in AWS and Databricks
• Collaborate with platform engineers, data analysts and stakeholders and document infrastructure, processes, and best practices

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Data Engineer