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Cloud Infrastructure Engineer II

McKinsey & Company

McKinsey & Company

Other Engineering
San Jose, CA, USA
Posted on Monday, September 16, 2024
Technology & Digital

Cloud Infrastructure Engineer II

Job ID: 91419
  • San Jose


Do you want to do work that matters, alongside supportive leaders who will help you grow faster than you ever thought possible? Are you a creative problem-solver who is energized by challenges? You’ve come to the right place.

Who You'll Work With

Secure Foundation Cloud Services is an entity within McKinsey's global IT organization that provides IT support services to McKinsey Firm members and clients. The team is responsible for managing the Firm’s global IT infrastructure and applications. Secure Foundation Cloud Services provides “Data Operation and Engineering” services for McKinsey’s business operations. This group is responsible for expanding and optimizing our data and data pipeline architecture, as well as optimizing data flow and collection for cross functional teams. It's a team of skilled engineers supporting our software developers, data analysts and data scientists, with initiatives to ensure optimal data delivery architecture and consistency during engagements. Beyond technology skills, our data operations engineers bring skills essential to client service, including Problem Solving, Critical Thinking, Process Orientation and Business savvy. Team members are currently distributed globally across three time zones (India, USA, Costa Rica).

Your impact within our firm

You will contribute expertise of data and technical approaches to help structure and solve business problems by coding, testing and delivering tools and technology assets for high quality analytics.
You will design, develop, optimize, and maintain data platforms and ETL pipelines to meet business use cases and objectives.
As a Cloud Infrastructure Engineer II, you will optimize & maintain ETL pipelines to support data integration and transformation and monitor ETL pipelines and data workflows to ensure smooth operation.
You will lead evaluation, implementation, and deployment of tools and process to improve the way we work and ensure compliance with data governance and security policies.

Your qualifications and skills

  • 3+ years of experience with a strong background in data engineering & analytic platforms
  • Experience in building and optimizing Data Engineering pipeline, architectures and data sets
  • Extensive working experience with backend programing languages like SQL & Python is a must
  • Experience with big data systems such as Spark, PySpark, Databricks etc. is desired
  • Required experience and education
Please review the additional requirements regarding essential job functions of McKinsey colleagues.
Industries
  • High Tech
Capabilities
  • Technology
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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 - CSSA
Job Skill Code - SSTE - Cloud Infrastructure Engineer II
Function - Technology
Industry - High Tech
Post to LinkedIn - Yes
Posted to LinkedIn Date - Mon Sep 16 00:00:00 GMT 2024
LinkedIn Posting City - San Jose
LinkedIn Posting State/Province -
LinkedIn Posting Country - Costa Rica
LinkedIn Job Title - Cloud Infrastructure Engineer II
LinkedIn Function - Information Technology
LinkedIn Industry - Information Technology and Services
LinkedIn Seniority Level - Mid-Senior level