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Senior Data Scientist in Mexico City building and validating machine-learning models end to end: Python with scikit-learn/XGBoost (and PyTorch/TensorFlow when needed), advanced SQL and PySpark for data at scale, cloud storage, plus A/B testing, causal inference, and MLOps discipline (Git, MLflow, production-ready code).
Data engineer role at Bluetab (an IBM-owned data consultancy) in Mexico City, focused on building batch and streaming data pipelines on Google Cloud Platform. Day to day: developing ETL/ELT processes with BigQuery, Dataflow, Cloud Composer/Airflow and Dataproc, optimizing performance and costs, validating data quality, and monitoring and documenting data flows.
Data Engineer at Bluetab (an IBM Company) in San Isidro, Peru, designing, developing and deploying cloud data solutions and pipelines on Azure — Azure Data Factory, Databricks and Azure SQL — using Python/PySpark. Handles production releases, root-cause analysis, optimization and technical leadership on Azure Lakehouse architectures; requires 3.5+ years in data engineering.
Data engineer at Bluetab (an IBM Company) in Mexico City who owns the full analytics cycle: gathering requirements from stakeholders, building Power BI and Databricks dashboards, writing optimized SQL and PySpark for large-scale data, and applying statistics, data-quality checks, and data governance practices.
¡Únete a nuestra revolución tecnológica como Data Engineer Azure ! En Bluetab, rompemos con la consultoría tradicional porque contratamos para nuestra propia familia. Creemos en nuestra cultura, trabajamos en equipo y…
Data Engineer designing, building and operating batch and real-time data pipelines on the Microsoft ecosystem — Azure (ADLS Gen2, Data Factory), Databricks and Microsoft Fabric — using Medallion architecture, with Python/PySpark/SQL, data governance and CI/CD deployments.
Data Scientist at Bluetab (IBM Company) in San Isidro, Peru, designing and deploying predictive and propensity models for the financial sector using Python/R/PySpark, SQL, Amazon SageMaker, and XGBoost with SHAP-based explainability.
Designs, optimizes, and deploys high-impact data pipelines on AWS to process transactional data from multiple sources (core banking, CRMs, digital channels) for advanced analytics, ensuring data quality, performance, and documentation.
Build and maintain scalable data pipelines using Azure Data Factory, Databricks, and PySpark to support analytics and cloud migrations.
🚀 Súmate a Bluetab En Bluetab no contratamos “recursos”. Contratamos talento que quiere crecer en serio. Somos tech, somos exigentes y sí, vamos rápido. Pero aquí nadie compite solo. Trabajamos en equipo, sin…
¡Ampliamos nuestro equipo! En Bluetab seguimos creciendo y estamos en búsqueda de apasionados/as del mundo tecnológico. Somos una compañía que proporciona servicios y soluciones digitales, contamos con un equipo…
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