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Data Quality Assurance (QA) Specialist at Enroute. We love technology, and we enjoy what we do. We are always looking for innovation. We have social awareness and strive to improve it every day. We make things happen. You can trust us. Our Enrouters are always up for a challenge. We ask questions, and we love to learn.. We pride ourselves on offering great benefits and compensation, a fantastic work environment, flexible schedules, and policies that support a healthy work-life balance. We care about who you are both in and outside the office. We get involved, we like to know our people, and we want every Enrouter to be part of a strong community of driven, responsible, respectful, and—above all—happy individuals. We want you to truly enjoy working with us.. Enroute is seeking a Data Quality Specialist. to ensure the accuracy, consistency, and reliability of data across analytics, reporting, and data platform initiatives. In this role, you will work closely with data engineers, BI developers, analysts, and business stakeholders to validate data pipelines, data models, and analytical outputs.. You will play a key role in identifying data quality issues, translating business rules into validation logic, and ensuring trusted data for decision-making. This position is ideal for someone with a strong analytical mindset, solid SQL skills, and a passion for data quality and continuous improvement.. 2–4 years of experience in Data Quality, Data QA, BI Testing, or data validation roles. Advanced English proficiency (spoken and written). Strong SQL skills for data validation, analysis, and reconciliation. Experience validating data pipelines, ETL / ELT processes, and Data Warehouses. Experience working with large datasets / high data volumes. Solid understanding of data warehousing concepts, dimensional modeling, and BI and analytics concepts (metrics, KPIs, aggregates. Experience validating reports, dashboards, and KPIs against business rules and source systems. Ability to translate business requirements into data validation logic. Strong attention to detail and analytical problem-solving skills. Experience working closely with Data Engineers, BI Developers, and Analysts. Experience working in Agile / Scrum environments. Responsibilities. Design and execute data quality validation strategies across data warehouses, data lakes, and BI solutions.. Validate ETL/ELT pipelines, including source-to-target reconciliation, transformations, and data profiling checks for accuracy, completeness, and consistency.. Develop and maintain test cases and validation logic for data pipelines, reports, dashboards, and KPIs based on business requirements.. Identify, document, and track data quality issues, collaborating closely with data engineers and supporting UAT and root cause analysis.. Automate data quality checks using SQL, scripting, or data quality tools, ensuring compliance with data governance, security, and privacy standards.. Company Location: Mexico.