Sr Business Intelligence SQL & Power BI

Posted 6 Days Ago
Be an Early Applicant
Hiring Remotely in México
Remote
Senior level
Information Technology • Software • Consulting
The Role
Design, build, and maintain enterprise ETL/ELT pipelines, data models, and Power BI reports. Ensure data quality, governance, pipeline orchestration, performance optimization, and stakeholder collaboration to deliver analytics solutions across the organization.
Summary Generated by Built In

We love technology, and we enjoy what we do. We are always looking for innovation. We have social awareness and try to improve it daily. We make things happen. You can trust us. Our Enrouters are always up for a challenge. We ask questions, and we love to learn.

We pride ourselves on having great benefits and compensations, a fantastic work environment, flexible schedules, and policies that positively impact the balance of work and life outside of it. We care about who you are in the office and as an individual. We get involved, we like to know our people, we want every Enrouter to become part of a great community of highly driven, responsible, respectful, and above all, happy people. We want you to enjoy working with us.
We are seeking an experienced Sr Business Intelligence SQL & Power BI to design, develop, and maintain a data architecture that supports enterprise-wide business intelligence and reporting initiatives. In this role, you will architect and build scalable ETL/ELT pipelines from multiple diverse sources, transform complex datasets, and reporting solutions. You will work closely with analytics teams, business stakeholders, and database engineers to ensure data quality, governance, and accessibility while optimizing performance and maintainability.


Requirements
  • Advanced proficiency in Power BI, including dashboard design, data modeling, DAX, and report optimization. 
  • Strong hands-on experience designing, developing, and supporting ETL/ELT pipelines in enterprise environments. 
  • Expert-level SQL skills with deep knowledge of relational and cloud databases; ability to write optimized queries and design efficient data structures. 
  • Experience with modern data platforms and cloud technologies (Azure, AWS, Google Cloud). 
  • Strong understanding of data architecture principles, including data modeling, data governance, metadata management, and dimensional modeling. 
  • Expertise in pipeline orchestration, scheduling, monitoring, alerting, error handling, and retry logic. 
  • Proficiency in data transformation techniques, data validation, testing strategies, and data quality assurance. 
  • Ability to analyze complex business requirements and translate them into robust technical solutions. 
  • Strong troubleshooting, documentation, and communication skills with the ability to present technical concepts to non-technical stakeholders. 
  • Desirable, experience integrating data from diverse sources including databases, APIs, cloud storage, flat files, web services, and enterprise applications. 
  • Demonstrated ability to collaborate effectively with architects, database engineers, QA teams, and business analysts. 
    Responsibilities
    Design and develop enterprise-level data solutions that support diverse reporting and analytics requirements across multiple business units.
  • Develop and implement scalable ETL/ELT pipelines that extract data from disparate sources, perform complex transformations, and load data into target systems.
  • Build and maintain data models and dimensional schemas optimized for reporting and analytical queries.
  • Create advanced Power BI reports, dashboards, and analytics solutions that deliver insights to executive leadership and operational teams.
  • Establish and enforce data quality standards, validation rules, and data governance practices across all data pipelines.
  • Configure scheduling, monitoring, alerting, and error handling mechanisms to ensure pipeline reliability and timely data availability.
  • Perform analysis and optimization of ETL processes, database queries, and Power BI models to ensure cost-effectiveness and speed.
  • Collaborate with stakeholders to gather requirements, document technical specifications, and provide technical guidance on data architecture decisions.
  • Troubleshoot and resolve data-related issues, implementing sustainable solutions and documenting lessons learned.
  • Stay current with emerging data technologies and best practices, recommending improvements to the data platform.

Benefits
  • Monetary compensation
  • Year-end Bonus
  • IMSS, AFORE, INFONAVIT
  • Major Medical Expenses Insurance
  • Life Insurance
  • Funeral Expenses Coverage
  • TDU Membership
  • MediAccess
  • Health Check-Up Subsidy
  • Preferential rates for car insurance
  • Vacations
  • Official Mexican Holidays
  • Life Happens Days
  • Bereavement Leave
  • Civil Marriage Leave
  • English Classes
  • Certifications
  • Educational Agreements (Talisis, U-ERRE, UNID, TecMilenio, Tec de Monterrey, UDEM, SPIS)
  • Corporate Agreements & Discounts (Sorteos Tec, Envia Flores, TopGolf)
  • Taquitos Rewards
  • Birthday Bonus
  • Work-from-home Bonus
  • Laptop Policy

Equal employment

Enroute is committed to providing equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training

Skills Required

  • Advanced proficiency in Power BI, including dashboard design, data modeling, DAX, and report optimization.
  • Designing, developing, and supporting ETL/ELT pipelines in enterprise environments.
  • Expert-level SQL skills with deep knowledge of relational and cloud databases; ability to write optimized queries and design efficient data structures.
  • Experience with modern data platforms and cloud technologies (Azure, AWS, Google Cloud).
  • Strong understanding of data architecture principles, including data modeling, data governance, metadata management, and dimensional modeling.
  • Expertise in pipeline orchestration, scheduling, monitoring, alerting, error handling, and retry logic.
  • Proficiency in data transformation techniques, data validation, testing strategies, and data quality assurance.
  • Ability to analyze complex business requirements and translate them into robust technical solutions.
  • Strong troubleshooting, documentation, and communication skills; present technical concepts to non-technical stakeholders.
  • Experience integrating data from diverse sources including databases, APIs, cloud storage, flat files, web services, and enterprise applications.
  • Demonstrated ability to collaborate effectively with architects, database engineers, QA teams, and business analysts.
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The Company
HQ: Houston, TX
187 Employees
Year Founded: 2005

What We Do

We are a group of top-notch gurus that bring together years of experience, cutting edge technology skills and cost-effective frameworks into a single place, we fuse them and deliver a sexy and perfectly fitted solution for all of our partners. We guide our clients for preparation and execution of critical projects and sourcing plans to: Minimize risks Drive Innovation Ensure the highest ROI Create value

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