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Lead Data Engineer

hace 2 meses

Ciudad de México, Ciudad de México AgileEngine A tiempo completo
About the Role

We are seeking a highly skilled Senior/Lead Data Engineer to join our team at AgileEngine. As a key member of our data engineering team, you will be responsible for designing, developing, and maintaining large-scale data systems to support our analytics and reporting needs.

Key Responsibilities
  • Data Modeling and Design
    • Develop and maintain data models (conceptual, logical, and physical) to support analytics and reporting needs;
    • Create and manage data dictionaries, ER diagrams, and schema designs that align with business requirements;
    • Collaborate with data architects and stakeholders to define data modeling standards and best practices;
  • Data Engineering and Development
    • Utilize code (SQL, Python, etc.) and apply engineering, reporting, and visualization expertise to solve business problems. Develop scalable tools to drive automation and optimize business operations;
    • Develop and lead a team of junior data analysts, providing mentorship, training, and coaching to increase technical acumen across the team;
    • Develop scalable systems to expand reporting capabilities, facilitate ad hoc analysis, and improve data-driven decision-making at all levels of the business;
  • Data Analysis and Visualization
    • Work with large, complex data sets. Solve difficult data transformation problems with efficiency, applying advanced analytical methods as needed. Conduct analysis that includes data gathering and requirements specification, processing, analysis, ongoing deliverables, and presentations;
    • Contribute to the establishment of standards for writing clean, organized code and documentation to streamline data and analytics workflow;
    • Drive and promote a culture of testing, observability, and scalability with a data-driven mindset;
  • Business User Experience
    • Manage and continuously improve business user's experience with data and reporting, including KPI development, data visualization, and communication of applicable insights to audiences at varying levels of technical sophistication;
    • Increase overall data literacy across ELC through education and advocacy;
    • Develop partnerships with engineering, data science, and product teams to deliver on major cross-functional reporting, measurement, and testing efforts;
  • Requirements
    • BS/BA in a quantitative field; a plus if MS degree in a quantitative discipline (e.g., Statistics, Operations Research, Economics, Computer Science, Mathematics, Engineering) or equivalent practical experience;
    • Proven experience as a Data Engineer, with a focus on analytics and data modeling;
    • Strong proficiency in SQL and experience with data modeling tools;
    • Knowledge of programming languages such as Python, Java or Scala;
    • Expertise in Google Cloud Platform (GCP) services, including BigQuery;
    • Experience with ETL/ELT processes and tools;
    • 4+ years of hands-on experience in crafting compelling data visualizations to inform business decisions;
    • 4+ years of experience in Data Warehouse Data Modeling techniques;
    • Track record of delivering data-driven products and insights as well as influencing product and engineering decisions;
    • Experience in analyzing, validating, and transforming large datasets;
    • Familiarity with data governance, data quality, and data security best practices;
    • Proficiency in deploying data-intensive solutions. Solid understanding of the software development lifecycle;
    • Upper-intermediate English level;
    What We Offer
    • Professional Growth
      • Accelerate your professional journey with mentorship, TechTalks, and personalized growth roadmaps;
    • Competitive Compensation
      • We match your ever-growing skills, talent, and contributions with competitive USD-based compensation and budgets for education, fitness, and team activities;
    • Exciting Projects
      • Join projects with modern solutions development and top-tier clients that include Fortune 500 enterprises and leading product brands;
    • Flextime
      • Tailor your schedule for an optimal work-life balance, by having the options of working from home and going to the office – whatever makes you the happiest and most productive;