Latam Data Engineer

The Data Engineer will support a smart manufacturing solutions team focused on improving the resilience and operational stability of data pipelines from factory systems to cloud environments. This role is responsible for developing analytics, dashboards, and monitoring capabilities that enable rapid identification and resolution of pipeline issues while improving overall system performance and reliability. Responsibilities:

• Design, develop, and integrate production support technologies and systems to improve data pipeline reliability
• Proactively identify vulnerabilities and implement process oriented solutions that strengthen pipeline resilience
• Develop and apply advanced analytics for monitoring, anomaly detection, and performance optimization
• Conduct detailed analysis of pipeline performance, incidents, and root causes to drive continuous improvement
• Build and maintain dashboards and reports with key performance indicators to measure system and pipeline health
• Collaborate with global teams across IT, operations, and engineering to troubleshoot and resolve data issues
• Prepare technical documentation, reports, and presentations related to system performance and enhancements
• Maintain accurate documentation for systems, processes, and troubleshooting procedures
• Support data governance efforts with focus on data quality and data integrity

• Strong organizational skills with a proactive mindset and strong sense of ownership
• Experience supporting data pipelines, systems reliability, and production environments
• Proficiency in Python and related libraries such as Pandas, Numpy, and machine learning frameworks
• Experience with SQL and scripting for data analysis and automation
• Hands on experience with cloud platforms, especially Google Cloud Platform
• Familiarity with tools such as BigQuery and Dataflow
• Experience with monitoring tools such as Grafana and cloud monitoring platforms
• Knowledge of business intelligence tools such as Looker, Power BI, or Tableau
• Experience with industrial data platforms and API data integration preferred
• Bachelor’s degree in Engineering, Computer Science, or related field

Tools and Technologies:

• Python and SQL
• Google Cloud Platform including BigQuery and Dataflow
• Monitoring tools such as Grafana and Cloud Monitoring
• Data visualization tools such as Looker, Power BI, Tableau
• Data integration and industrial data tools
• Automation and workflow tools

• $76,000-127,000 per year Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy wh…

• 12 days ago +

MatchPoint Solutions is a fast-growing, young, energetic global IT-Engineering services company with clients across the US. We provide technology solutions to various clients like Uber, Robinhood, Netflix, Airbnb, Google, Sephora, and more! More recently, we have expanded to working internationally in Canada, China, Ireland, UK, Brazil, and India. Through our culture of innovation, we inspire, build, and deliver business results, from idea to outcome. We keep our clients on the cutting edge of the latest technologies and provide solutions by using industry-specific best practices and expertise.