Data Reliability and Quality Engineer

Symphonic Distribution

. Execute end-to-end testing for new data pipelines and dbt models, validating that business logic is correctly applied in Fact and Dimension tables .

Posted 9/24/2026full-timeRemote • ColombiaJuniorMid-Level💰 COP 15,125,000 - COP 16,300,000 per monthWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates advanced SQL skills for complex data analysis and validation, with a strong understanding of data modeling and experience in dbt and Snowflake. Proficient in monitoring data health and collaborating with cross-functional teams to ensure data quality and integrity.

Highest-signal resume keywords

Advanced SQL SkillsData Modeling KnowledgeExperience with dbtFamiliarity with SnowflakeExperience with Azure DevOps

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

SQLData ModelingDbtSnowflakeData IngestionAWS S3Data Quality MonitoringData TransformationData AnalysisData Validation

Soft Skills

Attention to DetailAnalytical MindsetProblem-SolvingCommunication Skills

Tools & Technologies

Azure DevOpsJiraStitchEstuaryMode AnalyticsMetabase

Industry Keywords

Data EngineeringAgile EnvironmentFact and Dimension TablesData Acceptance Criteria

Tech Stack

Tools & technologies

AWSAzureSQL

About the role

Key responsibilities & impact

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

Requirements

What you’ll need

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