Staff Engineer, Analytics & Insights

Transition legacy systems to a cloud-native, modern data stack leveraging tools such as Informatica, Airflow, Postgres and modern technologies like Snowflake, dbt , BigQuery , Looker, CI/CD, Git, Databricks, PowerBI , Datadog and Grafana. Build innovative, scalable, and reliable data products that support Kinaxis’ strategic goals. Build and maintain both batch and stream-based data pipelines for a wide variety of use cases, including the analysis of application and infrastructure logging data. Build and maintain complex application to application data connectors. Implement and oversee rigorous data validation, cleansing, and error-handling mechanisms to maintain high data quality and reliability.