Ciudad de México, Mexico · On-site
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Ciudad de México, Mexico · Hybrid
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Ciudad de México, Mexico · On-site
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Ciudad de México, Mexico · Hybrid
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Ciudad de México, Mexico · On-site
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Ciudad de México, Mexico · On-site
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Ciudad de México, Mexico · Hybrid
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Ciudad de México, Mexico · Hybrid
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Ciudad de México, Mexico · Remote Solely
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Ciudad de México, Mexico · On-site
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Ciudad de México, Mexico · On-site
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Ciudad de México, Mexico · On-site
Industry/Sector Not Applicable Specialism Managed Services Management Level Senior Associate Job Description & Summary The Opportunity Join our Acceleration Center Mexico and help shape the future of business for our div…
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Ciudad de México, Mexico · On-site
Industry/Sector Not Applicable Specialism Managed Services Management Level Specialist Job Description & Summary The Opportunity Join our Acceleration Center Mexico and help shape the future of business for our diverse c…
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Ciudad de México, Mexico · Hybrid
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Ciudad de México, Mexico · Hybrid
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Ciudad de México, Mexico · Remote OK
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Ciudad de México, Mexico · On-site
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Ciudad de México, Mexico · Remote OK
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Ciudad de México, Mexico · Hybrid
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Ciudad de México, Mexico · Remote Solely
Job Description We are seeking Software Engineers to support the development, maintenance, and adoption of a self-hosted n8n platform. This role will focus on building workflow automations, developing custom integrations…
Skills: JavaScript, TypeScript, Python, API Integration, n8n
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Design, build, and maintain scalable data pipelines to bridge Operational Technology (OT) and IT by ingesting data from industrial systems. Manage the full project lifecycle for initiatives such as OEE, KPIs, and AI/ML use cases to improve manufacturing efficiency.
Requires a Bachelor's degree in Computer Science or Engineering and over 5 years of experience in enterprise-level data engineering. Proficiency in Python, SQL, and cloud platforms is required, with a preference for experience in industrial or manufacturing environments.
Ciudad de México
Nivel de Estudios
Bachelor’s Degree in Computer Science or Computer Engineering. Advanced degree preferred.
Experiencia Requerida
5+ years delivering enterprise-level Data Engineering solutions
Habilidades
Soft Skills
Technical Skills
Resumen
You will partner collaboratively with business and technical stakeholders to design, build, and maintain data pipelines and architectures that ingest, store, and analyze data from industrial systems (PLC, SCADA, IoT). The data will bridge OT (Operational Technology) and IT by optimizing ETL processes, ensuring data quality, and enabling decision support initiatives to improve manufacturing efficiency. You will ensure polices, processes, and governance standards are adhered to so that consistent and trusted data can drive business initiatives and enable data driven decision making in a reliable, repeatable, and scalable way. You will be responsible for the entire project life cycle from conception through commissioning of projects that support business initiatives such as Overall Equipment Effectiveness (OEE), Key Performance Indicators (KPIs), self-service Business Intelligence (BI) projects, Data Contextualization, Industrial Data Fabric, Machine Learning/AI use cases and ad-hoc analytics.
Responsabilidades
1.Data Pipeline Development - Create, maintain, and optimize scalable, reliable data pipelines for structured, unstructured, batch and real-time data using API's, Python, SQL and NoSQL.
2. Industrial Data Integration - Extract and clean data from PLC (Programmable Logic Controllers), HMI (Human Machine Interface), and SCADA systems
3. ETL/ELT Processes - Design and implement robust processes to extract, transform, and load data from manufacturing systems into secure, structured, or unstructured storage solutions (Data Lakes/Warehouses).
4. Performance Optimization - Redesign infrastructure for greater scalability and automate manual data processes.
5. Data Integrity & Security: Ensure data quality through testing, validation, and adherence to security protocols.
6. Collaboration & Support - Work with Production Engineering, Data Science, and Business Intelligence teams to understand
data requirements and ensure the availability of clean, high-quality data for analysis and reporting. Troubleshoot and
resolve data-related issues and performance bottlenecks in a timely manner.
7. Governance - Maintain data warehouse and respective governance that is used by operations stakeholders, business intelligence customers and data science teams. Produce and maintain high-quality documentation to ensure transparency and understanding of solutions. Implement, achieve and maintain strong data governance including technical data catalog, business data catalog, data lineage and data quality.
8. Analytic Life Cycle Management - Estimate, architect, and execute on delivery of critical data solutions. Manage life cycle from conception through commissioning of projects that support business initiatives such as Overall Equipment
Effectiveness (OEE), Key Performance Indicators (KPI) development, Self-service Business Intelligence (BI) Projects, Data Contextualization, Industrial Data Fabric, Machine Learning and AI use cases and ad-hoc analytics.
Constellation Brands is committed to a continuing program of equal employment opportunity. All persons have equal employment opportunities with Constellation Brands, regardless of their sex, race, color, age, religion, creed, sexual orientation, national origin or citizenship, ancestry, physical or mental disability, medical condition (cancer or genetic characteristics), marital status, gender (including gender identity or gender expression), familial status, military or veteran status, genetic information, pregnancy, childbirth, breastfeeding, or related conditions (or any other group or category within the framework of the applicable discrimination laws and regulations).
We're driven to think beyond today to build the next generation of products and experiences #WorthReachingFor
Constellation Brands (NYSE: STZ) is a leading international producer and marketer of beer, wine, and spirits with operations in the U.S., Mexico, New Zealand, and Italy. Our mission is to build brands that people love because we believe elevating human connections is Worth Reaching For. It’s worth our dedication, hard work, and calculated risks to anticipate market trends and deliver more for our consumers, shareholders, employees, and industry. This dedication is what has driven us to become one of the fastest-growing, large CPG companies in the U.S. at retail, and it drives our pursuit to deliver what’s next. Every day, people reach for our high-end, imported beer portfolio anchored by the iconic Corona Extra and Modelo Especial, a flavorful lineup of Modelo Cheladas, and favorites like Pacifico, and Victoria; our exceptional wine brands including The Prisoner Wine Company, Robert Mondavi Winery, Kim Crawford, Schrader Cellars, and Lingua Franca; and our craft spirits brands such as Casa Noble Tequila and High West Whiskey. As an agriculture-based company, we strive to operate in a way that is sustainable and responsible. Our ESG strategy is embedded into our business and we focus on serving as good stewards of the environment, investing in our communities, and promoting responsible beverage alcohol consumption. We believe these aspirations in support of our longer-term business strategy allow us to contribute to a future that is truly Worth Reaching For.
Offices: Rochester, New York, US · Chicago, Illinois, US · Mexico City, MX · Auckland, NZ · Pontassieve, IT
There are currently 530 open technology positions in Ciudad de México, Mexico listed on Clera. New openings are added daily as companies post roles.
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