McKinsey & Company

Data Engineer - Optimus AI (BB-6037B)

Encontrado en: Neuvoo CR



  • Bachelor’s degree in computer science, engineering, applied mathematics, statistics, economics or related field; Master’s degree is a plus
  • 3+ years of Experience building and managing data pipelines in the commercial world (ideally in heavy industry)
  • Ability to build and manage data pipelines with Python
  • Experience in Cloud platforms such as: AWS, Azure, Google Platform or Databricks
  • Experience in multiple database technologies such as Distributed Processing (Spark, Hadoop, EMR), traditional RDBMS (MS SQL Server, Oracle, MySQL, PostgreSQL), MPP (AWS Redshift, Teradata)
  • Knowledge of software engineering best practices such code reviews, testing frameworks, maintainability and readability
  • Ability to work across structured, semi-structured, and unstructured data, extracting information and identifying linkages across disparate data sets
  • Good communication skills, with the ability to explain complex analytical concepts to people from other fields
  • Flexible to travel to other offices/client locations for short/long term assignments
  • Who You'll Work With

    You will be a part of Optimus AI solution under our Basic Materials practice (BMI) in Costa Rica. Optimus AI is a McKinsey proprietary solution based on a transformation approach, state-of-the art tools, machine learning models & techniques to increase processing plant productivity by developing decision support tools. Our approach blends together a robust delivery process with a highly specialist and collaborative team – both underpinned and supported by proprietary technology and products.

    What You'll Do

    You will be part of a best in class Data Science and Machine Learning Engineering (MLE) team to help develop McKinsey proprietary analytics assets. In this role you will assist data-driven teams to successfully deploy our propriety solutions, and apply problem solving to a growing number of client situations. You will also be supporting knowledge development for the Firm’s analytic group and help developing a roadmap for a greater understanding of analytics and its impact in the consulting population.You will work in client-facing project in multi-disciplinary teams of 3-5 people, playing an active role in all aspects of client engagement. You will also collaborate with other members of the team to help developing and deploying complex Data science code. Functions
  • Technology
  • Apply Now

    FOR U.S. APPLICANTS: McKinsey & Company is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by applicable law.

    FOR NON-U.S. APPLICANTS: McKinsey & Company is an Equal Opportunity employer. For additional details regarding our global EEO policy and diversity initiatives, please visit our McKinsey Careers and Diversity & Inclusion sites.

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    Job Skill Group - CSSS - Early CSS Track
    Job Skill Code - SDAN - Senior Digital Analyst
    Function - Technology
    Industry -
    Post to LinkedIn - Yes
    Posted to LinkedIn Date - Sun May 10 00:00:00 GMT 2020
    LinkedIn Posting City - San Jose
    LinkedIn Posting State/Province -
    LinkedIn Posting Country - Costa Rica
    LinkedIn Job Title - Data Engineer - Optimus AI
    LinkedIn Function - Analyst;Information Technology
    LinkedIn Industry - Information Technology and Services;Management Consulting
    LinkedIn Seniority Level - Mid-Senior level

    calendar_todayhace 2 días


    location_on San José, Costa Rica

    work McKinsey & Company

    Autorizo expresamente a la Términos y condiciones

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