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Data Integration BI Engineer

Hybrid in Mexico

We are seeking a Data Integration BI Engineer to join our Financial Operations project, collaborating with a leading American multinational technology company.

You will work closely with finance teams to develop intelligent data solutions that improve decision-making and operational efficiency. Join us to advance your skills and contribute to impactful projects in a dynamic, global environment.

Responsibilities
  • Partner with finance teams and project managers to understand data requirements and develop actionable plans
  • Deliver data solutions that enable end users to make informed decisions and perform tasks efficiently
  • Incorporate best practices for deploying sustainable data capabilities and ensure long-term maintenance
  • Provide constructive feedback to the Product team to enhance product functionality and align with overall architecture
  • Lead release schedules and coordinate milestones across multiple teams throughout the project lifecycle
  • Utilize Google-based tools such as project SQL, PLX dashboarding, and Workspace APIs to develop and deploy solutions
  • Maintain high standards in technical design, solution development, system configuration, testing, issue resolution, and clean code practices
  • Ensure data integrity and establish security procedures to protect confidential information
  • Support deployed solutions by monitoring production issues and performing necessary reconfigurations
Requirements
  • Experience with SQL and data ETL processes, minimum 2 years
  • Proficient in data integration and data warehousing techniques
  • Strong skills in data analysis and data visualization
  • Familiarity with Google Workspace tools including Sheets, Slides, Docs, and Drive
  • Ability to construct workflows and data pipelines effectively
  • Experience coordinating with cross-functional teams and managing project milestones
  • Upper-Intermediate English proficiency (B2 level) to communicate effectively with stakeholders
Nice to have
  • Knowledge of data modeling principles
  • Experience in documentation and specification writing
  • Python programming skills