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Leads testing for Databricks data projects on AWS/Azure, designing automated QA checks and SQL validations to ensure data integrity during cloud migrations.
Senior trainer teaching remote Data Engineering on AWS with Python and SQL, designing ETL pipelines, and mentoring students in hands-on labs.
Designs and implements modern data architectures for AI and lakehouse systems, collaborating with clients and technical teams on enterprise data migration projects.
Salesforce is looking for a Principal Agentic Data Systems Engineer in Mexico City, offering a hybrid work model. The successful candidate will architect and manage a high-performing digital workforce made of…
Build and scale data pipelines to collect and process AI training datasets using Python, Docker, and GCP in a fast-paced AI product team.
Maintains and optimizes SQL Server databases for reliability and performance, troubleshooting issues and collaborating with engineering teams in a hybrid role.
Builds scalable data infrastructure to analyze blockchain transactions and enhance financial security using Python, SQL, and distributed systems.
Build and optimize secure, scalable SQL database infrastructure for real-time financial investigations using Postgres and MySQL.
Design and build scalable Azure-based data platforms with Databricks for a Fortune 100 client, using Python, SQL, and Scala.
Designs and builds ETL pipelines using PySpark and Azure Synapse Analytics to integrate and deliver clean analytical data for downstream teams.
Leads data collection and governance projects, designing complex data solutions and ensuring data integrity for HP’s systems in Tlaquepaque.
Senior Data Engineer builds and maintains reliable data pipelines for DiDi’s mobility platform, ensuring accurate analytics and insights for global operations.
Designs and maintains ETL pipelines using Python (PySpark) and Azure Synapse Analytics to feed data for analytics and decision-making.
Builds and optimizes cloud data pipelines using T-SQL and Databricks, migrating legacy SQL Server workloads to scalable cloud infrastructure.
Builds and maintains Python-based data pipelines and services on Google Cloud Platform for a tech company in Mexico City.
Designs and maintains scalable ETL and AI pipelines to power manufacturing analytics and AI/ML initiatives for a global optical communications manufacturer.
Build automated pipelines to ingest AWS cost data, catalog it with Glue, and create reusable models for FinOps reporting and AI-driven cost analysis.
Senior Data Engineer designs scalable PostgreSQL architectures, optimizes performance, and sets database standards for a data platform.
Design and build scalable cloud data pipelines using AWS and Databricks, leading platform initiatives and ensuring reliable data delivery for engineering, analytics, and science teams.
Designs and maintains ETL pipelines using PySpark in Azure Synapse, builds star-schema data warehouses, and ensures data quality from APIs, SQL, and CSV sources.
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