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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.
Analyzes retail, luxury, and consumer-goods data using BigQuery, SQL, and Python, ensuring quality and building cloud pipelines in a hybrid Mexico City role.
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.
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.
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