Senior Data Quality Engineer

Remote in Colombia,

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We are seeking an experienced and accomplished Senior Data Quality Engineer to join our team, driving the reliability, accuracy, and efficiency of our data systems and processes at scale. If you are passionate about shaping high-impact data quality initiatives and are eager to work with advanced technologies, this role will empower you to influence the future of our data landscape.

Responsibilities

Oversee end-to-end data quality strategy, ensuring rigorous testing and reliability of data products and processes
Drive data quality initiatives while instilling best practices across multiple teams and projects
Define and enforce advanced testing methodologies and frameworks to ensure enterprise-level data quality
Prioritize and manage complex data quality tasks, optimizing efficiency under tight timelines and competing demands
Architect and maintain robust testing strategies tailored to evolving system architectures and data pipelines
Advise on resource allocation, setting priorities for testing aligned with regulatory and business standards
Establish and continuously enhance a robust data quality governance framework, overseeing compliance with industry standards
Develop, scale, and refine automated data quality validation pipelines for production systems
Collaborate at a high level with cross-functional teams to resolve infrastructure challenges and optimize performance
Mentor junior engineers while maintaining comprehensive documentation, including versions of test strategies and advanced test plans

Requirements

3+ years of professional experience in Data Quality Engineering
Advanced programming skills in Python
Deep expertise in Big Data platforms, including Hadoop ecosystem tools (HDFS, Hive, Spark) and modern streaming platforms (Kafka, Flume, Kinesis)
Strong practical knowledge of NoSQL databases such as Cassandra, MongoDB, or HBase, with a track record of handling enterprise-scale datasets
Advanced skills in data visualization and analytics tools (e.g., Tableau, Power BI, Tibco Spotfire) to support decision-making
Extensive hands-on experience with cloud ecosystems like AWS, Azure, and GCP, including a strong understanding of complex multi-cloud architectures
Demonstrated expertise with relational databases and SQL (PostgreSQL, MSSQL, MySQL, Oracle) in high-volume, real-time environments
Proven ability to implement, troubleshoot, and scale ETL processes using tools like Talend, Informatica, or similar platforms
Experience deploying and integrating MDM tools into existing workflows, with knowledge of performance testing tools such as JMeter
Advanced experience in version control systems (Git, GitLab, or SVN) and automation/scripting for large-scale systems
Comprehensive knowledge of modern testing frameworks (TDD, DDT, BDT) and their application in data-focused environments
Familiarity with CI/CD practices, including implementation of pipelines using tools like Jenkins or GitHub Actions
Highly developed problem-solving abilities and an analytical mindset capable of interpreting complex datasets into actionable business outcomes
Exceptional verbal and written communication skills in English (B2 level or higher), paired with experience guiding discussions with stakeholders

Nice to have

Extensive hands-on experience with programming languages like Java, Scala, or advanced Bash scripting for production-level data solutions
Advanced knowledge of XPath and its applications in data validation or transformation workflows
Experience designing customized data generation tools and sophisticated synthetic data techniques for testing scenarios