Data Analytics Engineer

• Develop and maintain scalable batch and streaming data pipelines in a cloud-native, event-driven architecture.
• Implement data ingestion, transformation and feature preparation processes in Snowflake and cloud data services.
• Contribute to infrastructure-as-code and CI/CD pipelines to enable reliable, repeatable deployments.
• Write clean, well-tested Python/SQL code and participate in peer reviews.
• Monitor data quality, performance and cost; implement automated alerts and remediation.
• Partner with the Lead Engineer to design new components and improve existing ones.
 

• 2+ years of data engineering or software engineering experience.
• Hands-on experience building production pipelines in Snowflake plus either AWS or Azure (ideally both).
• Working knowledge of event-driven and serverless services (AWS Lambda, SQS/SNS, Kinesis, Azure Functions, Event Hubs, etc.).
• Solid SQL skills and Python a plus
• Understandin...