Job Description
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
- Team Player: Excellent communication and interpersonal skills, working effectively as part of a team and collaborating with stakeholders across different locations.
- Adaptability: Thrive in a dynamic, fast-paced work environment and adapt quickly to changing business needs.
- Attention to Detail: Meticulous attention to detail, ensuring data accuracy and maintaining high-quality standards in all deliverables.
Technical Skills
- A minimum of 5 years of professional hands-on experience with data engineering and data management
- An understanding of cloud infrastructure
- Strong problem-solving skills and the ability to troubleshoot complex data-related issues
- Solid understanding of data modeling, data warehousing, data governance and ETL processes
- Proficiency in Python and SQL/NoSQL query languages (ability to learn others)
- Experience deploying software using cloud-based solutions in AWS, Azure, or similar
- Familiarity with OPC-UA, MQTT, and industrial automation protocols is a significant advantage
- Experience in a manufacturing or industrial environment preferred
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.
Location
Ciudad de Mexico, MexicoAdditional Locations
Job Type
Full timeJob Area
Operations and ProductionEqual Opportunity
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).
Skills Required
- Bachelor's Degree in Computer Science or Computer Engineering
- Advanced degree
- 5+ years delivering enterprise-level Data Engineering solutions
- Minimum of 5 years hands-on experience with data engineering and data management
- Understanding of cloud infrastructure
- Proficiency in Python
- Proficiency in SQL and NoSQL query languages
- Experience deploying software using cloud-based solutions (AWS, Azure, or similar)
- Solid understanding of data modeling, data warehousing, data governance and ETL/ELT processes
- Familiarity with OPC-UA, MQTT, and industrial automation protocols
- Experience in a manufacturing or industrial environment
- Strong problem-solving skills and troubleshooting complex data issues
- Team player with excellent communication and interpersonal skills
- Adaptability to dynamic, fast-paced environments
- Attention to detail to ensure data accuracy and quality
Constellation Brands Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Constellation Brands and has not been reviewed or approved by Constellation Brands.
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Healthcare Strength — Healthcare coverage is described as comprehensive, spanning medical, dental, and vision offerings alongside wellness resources. Additional supports such as telemedicine and mental-health programs are positioned as part of the overall package.
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Retirement Support — Retirement benefits appear comparatively strong, with a 401(k) match structure and an added non-elective contribution described in the materials. Profit sharing and employee stock purchase access are also included in the broader financial-security toolkit.
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Leave & Time Off Breadth — Paid time off is framed as generous, covering vacation, holidays, and sick time, with some roles citing substantial starting PTO. Work–life supports such as flexible or hybrid arrangements and summer hours are also part of the offering for eligible roles.
Constellation Brands Insights
What We Do
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, iconic imported beer brands such as those in the Corona brand family like the flagship Corona Extra, Modelo Especial and the flavorful lineup of Modelo Cheladas, Pacifico, and Victoria; our fine wine and craft spirits brands, including The Prisoner Wine Company, Robert Mondavi Winery, Casa Noble Tequila, and High West Whiskey; and our premium wine brands such as Kim Crawford and Meiomi. As an agriculture-based company, we have a long history of operating sustainably and responsibly. Our ESG strategy is embedded into our business and our work focuses on serving as good stewards of the environment, enhancing social equity within our industry and communities, and promoting responsible beverage alcohol consumption. These commitments ground our aspirations beyond driving the bottom line as we work to create a future that is truly Worth Reaching For. To learn more, visit www.cbrands.com and follow us on Twitter, Instagram, and LinkedIn
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