Role Summary The Data Engineer is responsible for designing, developing,
testing, and supporting the Data Foundation platform's data pipelines, data
products, and data services. This role works closely with the Data Engineering
Lead, Architecture Team, Service Owner, Platform Engineering Lead, and business
stakeholders to deliver trusted, scalable, and maintainable data solutions that
enable analytics, AI, integrations, and operational reporting. The idóneo
candidate is a hands-on engineer with strong experience in data integration,
SQL, Python, cloud-native data platforms, and modern engineering practices. They
are passionate about building reliable data solutions, improving data quality,
and enabling enterprise-scale data consumption. Key Responsibilities Data
Pipeline Development • Design, develop, and maintain batch and event-driven data
pipelines. • Build and enhance reusable data ingestion, transformation, and
publishing services.



• Implement data movement patterns supporting source
systems, APIs, file-based integrations, and streaming platforms. • Develop
scalable and efficient solutions that meet performance, reliability, and
maintainability requirements. • Support enterprise data products, canonical data
models, and shared data assets. Data Engineering & Integration • Develop data
transformations using SQL, Python, and modern data engineering frameworks. •
Build integrations with internal applications, third-party platforms, and cloud
services. • Develop and support APIs that expose data products and services to
consumers. • Contribute to master data management and data standardization
initiatives. • Participate in design discussions and provide engineering input
on solution decisions. Data Quality & Reliability

📌 Big Data Engineer (México)
🏢 Hexaware
📍 México