Believe to Co-Create

Looking for a place where your ideas can shine?

With more than 38 years of experience and a global presence, at Stefanini, we transform tomorrow together.

Here, every action matters, and every idea has the potential to make a difference.

Join a team that values innovation, respect, and commitment.

If you are a disruptive thinker, committed to continuous learning, and innovation is part of your DNA, then we are the place for you.

Come join us and let's build a better future together!

We are looking for a DATA ENGINEER?

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Responsabilities:

• Design & Build Data Models: Architect and develop scalable, performant data models in Snowflake using dimensional modeling (star/snowflake schemas), OBT, and Data Vault patterns. You'll own the data warehouse layer that powers analytics and reporting across the organization.
• Develop & Maintain dbt Projects: Build, test, and document dbt models end-to-end — staging, intermediate, and mart layers. Enforce best practices including version control, CI/CD, data contracts, and comprehensive testing (schema, data, and freshness tests).
• Snowflake Cost Optimization: Monitor and optimize Snowflake compute and storage costs. This includes warehouse sizing and auto-suspend tuning, query profiling, clustering key strategies, materialization choices, and implementing resource monitors to control spend.
• Data Pipeline Development: Design and build robust ELT/ETL data pipelines to ingest, transform, and deliver data from diverse sources (ERP, MES, IoT, APIs, flat files) into Snowflake/ AWS Glue/ Lambda. Automate workflows using orchestration tools and Python scripting.
• Data Quality & Governance: Implement data quality checks, lineage tracking, and documentation standards. Champion data governance practices to ensure trusted, reliable data across the organization.

Requirements:

• Experience: 3+ years of experience in data engineering, analytics engineering, or a related role, with hands-on Snowflake and dbt experience in a production environment.
• Willingness to go to the office 3 times per week in Zapopan Jal
• Excellent English Skills (MANDATORY)

Technical Prowess:

• Expert-level Snowflake skills: data modeling, performance tuning, query optimization, Snowpark, stored procedures, streams/tasks, data sharing, and cost management.
• Strong dbt proficiency: model development, Jinja/macros, packages, incremental models, snapshots, exposures, and CI/CD integration.
• Advanced SQL skills for complex transformations, window functions, CTEs, and analytical queries.
• Proficiency in Python for data pipeline development, automation, scripting, and API integrations.
• Experience with dashboard/BI tools (Power BI, Tableau) including data source optimization and DAX/LOD calculations.
• Cloud platform experience (Azure, AWS, or GCP) including storage, compute, networking, and infrastructure-as-code basics.

Domain Knowledge (Nice to have):

• ?Understanding of manufacturing data ecosystems, ERP/MES systems, and operational data flows. Familiarity with cost accounting, production planning, or supply chain data is a strong plus.
• Problem-Solving Skills: Ability to translate ambiguous business requirements into well-structured data models and scalable data solutions. Strong analytical thinking and attention to detail.
• Collaboration & Communication: Excellent communication skills to work effectively with diverse teams — from plant floor operators to finance teams to senior leadership. Ability to explain technical concepts to non-technical audiences.
• Knowledge of data orchestration tools (Airflow, Snowflake Tasks).
• Experience with Git-based workflows, CI/CD pipelines, and DevOps practices for analytics.
• Familiarity with Snowflake cost governance features: resource monitors, warehouse scheduling, query tagging, and usage dashboards.
• Exposure to data mesh or data product concepts.