Data Analyst

• Analyze existing ETL validation processes and identify automation opportunities
• Develop AI-driven validation frameworks for data pipelines
• Implement anomaly detection for continuous data quality monitoring
• Compare source data against ETL outputs to identify and track discrepancies
• Automate record count, completeness, and consistency checks across pipelines
• Generate AI-assisted validation reports explaining detected issues in clear, actionable terms
• Integrate AI validation capabilities into AWS data platforms and workflows, including Glue, Lambda, Redshift, Athena, and S3
• Evaluate AI use for in-depth QA analysis of deliverables
• Collaborate with data engineering, QA, and business teams to define data quality rules, thresholds, and SLAs
• Deliver an AI-powered data validation platform
• Create an automated ETL quality control framework
• Develop anomaly detection models and monitoring dashboards
• Produce validation reports and root-cause analysis capabilities
• Define data quality KPIs and governance recommendations
• Create a roadmap for expanding AI-driven validation across additional workloads

• Bachelor’s degree in Computer Science, Data Engineering, Software Engineering, or related field (or equivalent experience)
• 5+ years of experience in data engineering, ETL development, or data quality roles
• Strong programming skills in Python and advanced SQL
• Hands-on experience with Amazon Bedrock and building generative AI solutions (prompt design, LLM-based analysis and reporting)
• Hands-on experience with AWS Lambda, AWS Glue, Amazon Redshift, Amazon Athena, and Amazon S3
• Practical experience with machine learning and anomaly detection techniques applied to data
• Solid understanding of data quality and data governance principles
• Experience designing source-to-target reconciliation and ETL testing strategies
• Solid understanding of Agile, SDLC, and modern engineering best practices

• Trabajo remoto
• Entorno que respalda el equilibrio entre vida personal y laboral
• Plan de carrera personalizado
• Programas de formación
• Equipo global diverso y multicultural
• Colaboración en equipos multidisciplinarios
• Proyectos de alto impacto con clientes líderes de la industria