Data Engineer Manager

hace 1 semana

Ciudad de México, Ciudad de México VISA A tiempo completo

About VISA

VISA is a global leader in payments technology, providing secure and reliable payment solutions to individuals, businesses, and financial institutions worldwide.

Job Description and Responsibilities

The Machine Learning Operations (MLOps) team under Data Science LAC is a multidisciplinary group responsible for designing robust data infrastructures, developing innovative machine learning solutions, enforcing data governance standards, and aligning machine learning projects with business objectives to drive business value and revenue generation in VCA LAC.

Key Responsibilities:

  • Design and develop state-of-the-art data solutions to address complex business problems.
  • Enhance existing data solutions to improve performance and scalability.
  • Collaborate with cross-functional teams to align machine learning projects with business objectives.
  • Enforce data governance standards and ensure data quality and integrity.
  • Develop and maintain CI/CD pipelines using Azure DevOps, GitHub actions, Jenkins, or Airflow.
  • Work with big data clusters using Jupiter Notebooks, terminal, or GUI.
  • Develop data visualization and business intelligence solutions using Tableau, PowerBI, Microstrategy, or Excel.
  • Collaborate with Agile/Scrum teams to deliver high-quality work.

Requirements:

  • 5 or more years of relevant work experience with a Bachelor's Degree or at least 2 years of work experience with an Advanced degree (e.g. Masters, MBA, JD, MD) or 0 years of work experience with a PhD.
  • At least 5 years of experience as a data engineer or data scientist with open-source tools.
  • BA/BS required, MBA or other relevant Master's degree preferred (e.g. engineering, computer science, computer engineering, applied mathematics, or other related fields).
  • Experience in retail banking, payments, financial services, and/or technology industries is a plus.
  • Strong technical competency and experience with shell-scripting and Linux systems.
  • Experience with CI/CD pipeline using Azure DevOps, GitHub actions, Jenkins, or Airflow.
  • Strong coding skills in Spark, Python, and SQL to manipulate big data distributed platforms.
  • Good to have experience in navigating in Linux/Unix/Container based apps such as Docker, Kubernetes, or Microservices environments.
  • Ability to interact with big data clusters using Jupiter Notebooks, terminal, or GUI.
  • Demonstrate experience leveraging open-source tools, libraries, and platforms.
  • Experience with data visualization and business intelligence tools like Tableau, PowerBI, Microstrategy, or Excel.
  • Problem solving ability and process creator with strategic focus on replicability, scalability, innovation, and governance.
  • Proficient with git for version control and code collaboration using branches and pull requests.
  • Must be passionate about automation and data and able to deliver high-quality work.
  • Experience developing as part of Agile/Scrum team.
  • Fluency in English/Spanish (spoken/written). Portuguese is a plus.

Additional Information:

VISA is an EEO Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability, or protected veteran status. VISA will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.

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