Constellation Brands

1 month ago

Ingeniero Senior, Datos Industriales

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 23 hours agoStatus: Live

Job Summary

Lidera el diseño, construcción y mantenimiento de pipelines de datos industriales para ingerir, almacenar y analizar datos de sistemas OT/IT (PLC, SCADA, IoT). Coordina con equipos de negocio y técnico para garantizar calidad de datos, gobernanza y soluciones escalables; impulsa iniciativas de OEE, KPI y BI de autoservicio en un entorno manufacturing.

Location: Mexico

Workplace: Onsite

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Seniority: Sr. Manager level

Key Responsibilities

•Data Pipeline Development - Create, maintain, and optimize scalable, reliable data pipelines for structured, unstructured, batch and real-time data using APIs, Python, SQL and NoSQL.
•Industrial Data Integration - Extract and clean data from PLC, HMI, and SCADA systems.
•ETL/ELT Processes - Design and implement robust processes to extract, transform, and load data from manufacturing systems into secure storage solutions (Data Lakes/Warehouses).
•Performance Optimization - Redesign infrastructure for greater scalability and automate manual data processes.
•Data Integrity & Security - Ensure data quality through testing, validation, and adherence to security protocols.

Key Requirements

•Bachelor's Degree in Computer Science or Computer Engineering; advanced degree preferred.
•5+ years delivering enterprise-level Data Engineering solutions.
•Proficiency in Python and SQL/NoSQL; ability to learn others.
•Experience with data modeling, data warehousing, data governance and ETL processes; understanding of cloud infrastructure (AWS/Azure).
•Experience deploying software using cloud-based solutions; familiarity with OPC-UA, MQTT and industrial automation protocols is a plus.

Experience:5+ yearsIndustrialData engineeringManufacturingBIETL

Education:Bachelor's

Skills:TeamworkCommunicationAdaptabilityAttention to detailProblem-solving

Languages:Spanish

Tech Stack:PythonSQLNoSQLAPIETLAWSAzureOPC-UAMQTTPLCSCADAData LakesData WarehousesBI

Company Brief

Constellation Brands

Produces, markets, and distributes beer, wine, and spirits brands across North America and internationally, including major labels and craft offerings, serving retail, on-premise, and e-commerce channels.

Industry: Food & Beverage

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Victor, United States

Founded: 1945

Website LinkedIn

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Constellation Brands

1 month ago

Ingeniero Senior, Datos Industriales

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 23 hours agoStatus: Live

Job Summary

Location: Mexico

Workplace: Onsite

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Seniority: Sr. Manager level

Key Responsibilities

•Data Pipeline Development - Create, maintain, and optimize scalable, reliable data pipelines for structured, unstructured, batch and real-time data using APIs, Python, SQL and NoSQL.
•Industrial Data Integration - Extract and clean data from PLC, HMI, and SCADA systems.
•ETL/ELT Processes - Design and implement robust processes to extract, transform, and load data from manufacturing systems into secure storage solutions (Data Lakes/Warehouses).
•Performance Optimization - Redesign infrastructure for greater scalability and automate manual data processes.
•Data Integrity & Security - Ensure data quality through testing, validation, and adherence to security protocols.

Key Requirements

•Bachelor's Degree in Computer Science or Computer Engineering; advanced degree preferred.
•5+ years delivering enterprise-level Data Engineering solutions.
•Proficiency in Python and SQL/NoSQL; ability to learn others.
•Experience with data modeling, data warehousing, data governance and ETL processes; understanding of cloud infrastructure (AWS/Azure).
•Experience deploying software using cloud-based solutions; familiarity with OPC-UA, MQTT and industrial automation protocols is a plus.

Experience:5+ yearsIndustrialData engineeringManufacturingBIETL

Education:Bachelor's

Skills:TeamworkCommunicationAdaptabilityAttention to detailProblem-solving

Languages:Spanish

Tech Stack:PythonSQLNoSQLAPIETLAWSAzureOPC-UAMQTTPLCSCADAData LakesData WarehousesBI

Company Brief

Constellation Brands

Industry: Food & Beverage

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Victor, United States

Founded: 1945

Website LinkedIn