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Data QA Engineer designs and runs SQL-based tests to validate data pipelines and backend systems, ensuring data accuracy and reliability.
Design and migrate SQL Server/PostgreSQL workloads to Azure SQL, building PaaS/DBaaS offerings and optimizing performance, cost, and security for a global clinical trials company.
Designs and maintains scalable data pipelines and dashboards to ensure high-quality data governance and flow for a data-driven company.
Designs and builds large-scale data pipelines and ML training systems for robotics applications using Python and TypeScript.
Build, migrate, and optimize data pipelines and ETL/ELT processes between SQL Server and Databricks, using T-SQL, Spark SQL, and PySpark to modernize legacy systems.
Build and maintain large-scale data pipelines and ETL components in Java/Scala, using Spark for batch/streaming processing to support enterprise clients in media, healthcare, and tech.
Salesforce in Mexico City is seeking a Lead Data Systems Engineer to own end-to-end data product delivery. You will build, maintain, and enhance production-grade data solutions, leveraging AI agents and domain…
Thomson Reuters México is seeking an Engineering Intern - Data & AI Automation to join our Technology organization in Mexico. You will support data migration, analyze data extraction from competitor systems, and…
BairesDev is hiring a Data Quality Engineer to ensure data accuracy across AI and search systems. You will design automated checks using SQL and APIs, monitor data pipelines, and develop test suites to verify data…
Designs and maintains cloud infrastructure on AWS and Kubernetes for a financial-services data platform, automating deployments with IaC and CI/CD while integrating data tools like Airflow, Snowflake, and DBT.
Builds internal Streamlit libraries and maintains BI dashboards using Python, while collaborating on data pipelines with dbt and cloud/AI integrations.
Designs and automates BI pipelines, data marts, and dashboards on Google Cloud to turn raw data into clear insights for leadership.
Design and build scalable cloud data pipelines using Python, PySpark, and AWS to deliver reliable data across teams.
Designs and builds production-grade data pipelines on Azure Databricks, owning data platform architecture and Medallion patterns to deliver reliable data products for AI-driven experiences.
Design and maintain global data pipelines for telemetry (logs, metrics, events) using Splunk, Cribl, Datadog, and cloud-native tools to optimize cost, routing, and governance.
Builds real-time and batch data pipelines and Python analytics to power PepsiCo’s data products and insights across the business.
Analyzes retail, luxury, and consumer-goods data using BigQuery, SQL, and Python, ensuring quality and building cloud pipelines in a hybrid Mexico City role.
Build and maintain ETL pipelines, automate reports, and create dashboards to deliver data insights that guide leadership decisions.
Design and build end-to-end audio data pipelines for analytics and AI, ensuring compliance and security across automotive datasets and vehicle telemetry.
Build and maintain a secure, scalable AWS data platform using Python, SQL, and IaC; review code, troubleshoot issues, and document specs for clients.
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