Responsibilities

📍Build and maintain a robust, scalable, and cost-effective data platform 📍Collaborate with software engineers and other data practitioners to design pipelines that support business intelligence and product decisions 📍Design, automate, and optimize data pipelines and processes that power dashboards and reports 📍Model and organize large volumes of structured and unstructured data 📍Implement monitoring, alerting, and quality checks to ensure reliable data flows 📍Define and document a clear, consistent data taxonomy and governance framework 📍Ensure data security, compliance, and appropriate access controls 📍Create clear documentation and resources to support data self-service and onboarding

Requirements

📍5+ years of professional experience in software or data engineering 📍Extensive knowledge of database query languages, database design, and internals knowledge of query planning 📍Solid Python skills for data transformation, scripting, and automation. Ruby is a plus 📍Production experience with data platforms and tools such as Airflow, DBT, Kafka, Airbyte, and Looker 📍Production experience with datastores such as Postgres, Dynamo, RedShift, Snowflake, and BigQuery 📍Experience working with cloud providers, such as AWS or GCP 📍Experience building and operating production systems at scale 📍Experience with agile development practices 📍Self-sufficient without the need for daily direction from your manager 📍Eager to learn and work in an environment with new technologies and paradigms 📍Experience working at a B2C or B2B2C (Marketplace) company is a plus 📍Exceptional written and verbal communication skills in English. Fluency in French is a strong plus.

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