Data QA Engineer

Mexico City, MXFull-timeRemoteAbout UsThe Ksquare Group was established in 2014 in Dallas TX, we are an international company with a presence in different countries such as Mexico, the USA, India, and Dominican Republic currently being more than 250 Ksquarians and growing. We offer technological solutions through multidisciplinary Pods specifically designed to meet our customer’s needs. Depending on the skills required by every project, the best professionals are selected to bring all their talent together to achieve mutual goals. We authentically care about the comfort, wellbeing, and career growth of all our employees making sure integrity, innovation, leadership, accountability, and collaboration continuously stand by one and each one of us. We believe and trust all our outstanding professionals and realize how special they are but what makes us even special is the family we have become through the years.We are seeking an experienced and detail-oriented Data QA Engineer to validate and ensure the integrity, quality, and reliability of large-scale data pipelines and platforms on GCP. You will work closely with data engineers, architects, and business stakeholders to create and execute test strategies for Big Data environments leveraging BigQuery, Cloud DataProc, Cloud Composer, and related GCP services. You will also ensure compliance with data governance, MDM, and lineage standards.**Responsibilities**:Develop and execute data test strategies, plans, and test cases across structured and unstructured data pipelinesPerform data quality assurance (QA) checks for completeness, accuracy, consistency, and timelinessValidate data pipelines and workflows built on BigQuery, Cloud DataProc (Spark/Hadoop), and Cloud Composer (Airflow)Automate data validations using SQL, Python, or PySparkEnsure data lineage and metadata are accurately captured and validated using cataloging tools (e.g., Collibra, Atlan)Perform source-to-target data validation, schema checks, and record-level reconciliationSupport DataOps initiatives by integrating testing into CI/CD pipelines (e.g., with Git, Jenkins, or Cloud Build)Collaborate with stakeholders to define and enforce data quality metrics and thresholdsEnsure data complies with security, governance, and MDM policiesLog and track issues, perform root cause analysis, and work with engineering teams to resolve them**Requirements**:4+ years of experience in Data QA, Data Engineering QA, or Data Testing**Experience with GCP Big Data tools**: BigQuery, Cloud DataProc, Cloud ComposerStrong proficiency in SQL and Python for data testing and validationHands-on experience with data profiling, test automation, and data comparison toolsFamiliarity with ETL/ELT pipelines and data warehouse/lake architecturesKnowledge of data governance, data lineage, and MDM conceptsExperience integrating QA in DataOps workflows and toolsExposure to data catalog and lineage tools like Collibra, Alation, or Atlan**Nice to have**:GCP certification (e.g., Professional Data Engineer)Experience with dbt, pytest, or Great Expectations for data testingFamiliarity with tools like Jenkins, Airflow, or CI/CD pipelinesKnowledge of data security, encryption, and compliance standards (e.g., GDPR, HIPAA)The Ksquare Group does not and shall not discriminate based on race, color, religion, gender, gender expression, age, national origin, disability, marital status, sexual orientation, or military status, in any of its activities or operations. These activities include, but are not limited to, hiring, and firing of staff, selection of volunteers and vendors, and provision of services. We are committed to providing an inclusive and welcoming environment for all members of our staff, clients, volunteers, subcontractors, vendors, and clients. As an equal-opportunity employer. We will not discriminate and will take affirmative action measures to ensure against discrimination in employment, recruitment, advertisements for employment, compensation, termination, upgrading, promotions, and other conditions of employment against any employee or job applicant on the bases of the conditions previously mentioned.Why will you love working with us?We thrive to reach out to tomorrow.We are a world class team who work together across cultures and disciplines.Transparency and challenging projects that will let you grow and learn.We offer to you trust, sensibility and welfare, because you are important to us.