Data Reliability and Quality Engineer

• Execute end-to-end testing for new data pipelines and dbt models, validating that business logic is correctly applied in Fact and Dimension tables
• Serve as the final checkpoint for complex SQL transformations, including Fact and Dimension tables
• Design and implement generic and singular dbt tests to catch logic errors before they reach Snowflake
• Daily monitoring of dbt freshness, Stitch Data connectors, and S3 ingestions; proactively identify and report data gaps or ingestion failures
• Implement and maintain automated tests (dbt tests, SQL alerts) to monitor data health and schema changes in Snowflake
• Own data-related bugs in Azure DevOps, coordinating with Squads for resolution
• Assist Product Managers in defining data acceptance criteria and support the QA team with data-related queries
• Perform spot-checks on Mode Analytics and Metabase dashboards to ensure visual metrics match the underlying data models
• Report to the Data Quality Lead located in Colombia

• Advanced SQL skills, with the ability to write complex queries to compare datasets and identify anomalies
• Data modeling knowledge, including understanding of star schema (Facts vs. Dimensions)
• Experience with, or strong willingness to learn, dbt (data build tool) and Snowflake
• Familiarity with AWS S3 and data ingestion tools such as Stitch, Estuary, or similar
• Experience working with Azure DevOps, Jira, or similar tools within a sprint-based, agile environment
• 2 years of experience working in Data Engineering
• Must be currently living in Colombia
• Extreme attention to detail
• A strong analytical and problem-solving mindset
• Ability to communicate technical data issues clearly to non-technical stakeholders
• 5 years of experience working in Data Engineering would set you apart
• Love for music