Seeking an experienced engineer passionate about building resilient, high-scale data infrastructure and enabling the next generation of data-driven and machine-learning applications. Design, build, and maintain scalable, cloud-native data pipelines for batch and streaming workloads using modern tools like Airflow, Kafka, and dbt. Ensure data reliability, observability, and trust through robust monitoring, testing, and quality enforcement. Build data models and infrastructure that serve analytics, business operations, and AI/ML workloads.
Partner to support the deployment of AI-powered features. Modernize legacy data systems into scalable and cost-effective architectures using technologies like Snowflake, S3, Glue, and Redshift. Mentor team members and promote engineering excellence. Evaluate and introduce emerging tools, frameworks, and patterns that align with our AI and data strategy.