COORDINADOR INGENIERO DE DATOS DIGITAL | CORPORATIVO
About The Position
Arca Continental is a company dedicated to the production, distribution, and sale of beverages from brands owned by The Coca-Cola Company, as well as savory snacks under the Bokados brands in Mexico, Inalecsa in Ecuador, and Wise in the United States. With a distinguished history of over 100 years, Arca Continental was the first Coca-Cola bottler in Mexico and is one of the most important in the world. In its Coca-Cola franchise, the company serves a population of over 130 million in the northern and western regions of Mexico, as well as in Ecuador, Peru, the northern region of Argentina, and the southwestern region of the United States. Arca Continental is listed on the Mexican Stock Exchange under the symbol "AC". For more information about the company, visit our website www.arcacontal.com. The mission of the position is to ensure that business data is available, integrated, and reliable through the design, construction, and operation of data platforms and processes, contributing to operational efficiency, commercial growth, and information-based decision-making.
Requirements
- Systems Engineering, Information Technology, Data Science, or related degree.
- Minimum of 3 years of experience in data engineering, Azure, Azure DataFactory, advanced SQL, ETL/ELT, data modeling, orchestration, debugging, and production support.
- Hands-on knowledge in Azure Data Factory, Azure SQL Database, Data Lake, Snowflake, Git/CI-CD, monitoring, version control, and DataOps best practices.
- Experience working with production environments, data validation, incident analysis, query optimization, dependency management, and delivery based on business priorities.
- High analytical capacity, quality orientation, communication with technical and functional teams, sense of urgency, order in documentation, and results-oriented approach.
Nice To Haves
- Experience in mass consumption, retail, e-commerce, digital platforms, regional integration, medallion architectures, microservices, read models, or commercial analytics.
- Technical English and experience collaborating with multidisciplinary or regional teams.
Responsibilities
- Develop and maintain processes for data ingestion, transformation, validation, and publication on cloud platforms, relational databases, data lakes, and analytical solutions.
- Build datasets, consumption tables, and read models that support digital applications, operational reports, commercial indicators, and critical business processes.
- Monitor production pipelines, attend to incidents, optimize performance, reduce rework, and ensure operational continuity in DEV, QA, STG, and PRD environments.
- Integrate SAP and non-SAP sources, apply business rules, perform reconciliations, and ensure data quality and consistency across ingestion, transformation, and consumption layers.
- Document processes, dependencies, lineage, controls, and acceptance criteria, collaborating with Architecture, Development, QA, Product, Security, and regional teams.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
