Big Data QA / Analytics QA Engineer

🚀 Hiring: Big Data QA / Analytics QA Engineer (Mexico City / Costa Rica) 🚀 We are looking for a Big Data Quality Assurance / Analytics QA Engineer with strong experience in validating large-scale data pipelines, ensuring accuracy, and maintaining data integrity across modern cloud-based data ecosystems. 📍 Location: Mexico City or Costa Rica 📩 Apply / Contact: [Upgrade to PRO to see contact] 🎯 Key Requirements: We are seeking someone with: 5+ years of experience in QA with focus on Big Data & Analytics testing Strong expertise in SQL for data validation (Google BigQuery preferred) Hands-on experience in ETL/ELT validation and data pipeline testing Familiarity with cloud platforms such as GCP and AWS Experience with data processing frameworks like Apache Beam, Dataflow, Spark Strong analytical skills to identify data discrepancies and root causes Experience validating BI tools such as Tableau and Looker Strong understanding of data quality frameworks and monitoring systems Experience working in Agile environments (JIRA, Confluence) 🧰 Technical Skills: SQL (Advanced) Python / Shell scripting (automation of QA tasks) Data pipeline validation (ETL / ELT) Big Data ecosystems (GCP / AWS) BI validation (Tableau / Looker) Cloud-based data workflows 🤖 GenAI + Automation Focus (Must Have): Hands-on experience with Claude or similar GenAI tools Ability to generate and optimize data validation rules and SQL queries Use AI for: Anomaly detection Data reconciliation Root cause analysis Trend and pattern detection Experience implementing RAG-based validation systems using data dictionaries and historical defects Familiarity with Agentic AI frameworks for automated QA workflows Basic knowledge of Docker for running validation tools in containerized environments 📊 Bonus: Experience in media / streaming / entertainment analytics Exposure to high-volume data environments and real-time pipelines If you are passionate about data quality, analytics, and AI-driven QA automation, we’d love to connect. 📩 Send your profile to: [Upgrade to PRO to see contact]