Data Reliability and Quality Engineer

🔥 12 hours ago

🇨🇴 Colombia – Remote

💵 $15.1M - $16.3M / month

⏰ Full Time

🟢 Junior

🟡 Mid-level

🔧 QA Engineer (Quality Assurance)

🚫👨‍🎓 No degree required

👻 Ghost score 0%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Symphonic Distribution

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2006

📣 Marketing

💼 Consulting

🍽️ Food & Beverage

💰 $37M Series B - Symphonic Distribution on 2022-01

Marketing • Consulting • Food & Beverage

Symphonic Distribution is a 100% independent music distribution and technology company that provides digital and video distribution, royalty collection and rights management, marketing and promotion, sync licensing, physical distribution, funding/royalty advances, AI mastering, and analytics for independent artists, labels, and managers. Founded in 2006, Symphonic combines a distribution network to hundreds of DSPs with proprietary technology, real-time platform analytics (including TikTok analytics), artist support, and community resources such as masterclasses and events to help creators monetize and grow their audiences.

📋 Description

• 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

• 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