Cloud Infrastructure Engineer I

McKinsey & Company

Early Applicant

11 days ago
Be among the first 50 applicants

Exp: 3-5 Years

Full time

Gurugram, Gurgaon / Gurugram, India

Job Description

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

In your role as an Engineer, you will develop capabilities which will serve as baseline for our clients and improve developer experience. You will contribute and master multiple technology skills like AWS Cloud, Data Pipelines with a strong focus on open-source products.

nYou'll contribute your 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.

nYou'll design, develop, optimize, and maintain data platforms and ETL pipelines to meet business use cases and objectives. You'll optimize and maintain ETL pipelines to support data integration and transformation.

nYou will work with stakeholders to assist with data-related technical issues and conduct thorough RCA to identify the source of data problems. You'll lead evaluation, implementation, and deployment of tools and process to improve the way we work.

Your qualifications and skills

Bachelor's or master's degree in computer science, engineering, or a related field
n3+ years of professional experience as a Cloud or Data Engineer, with an ability to support infrastructure platform configurations, resources, and provisioning for cloud and data services
nExperience in building and optimizing Data Engineering pipeline, architectures and data sets
nHands-on experience in developing and implementing data/hot fixes to address urgent data issues and ensure compliance with data governance and security policies
nExtensive working experience with backend programing languages like SQL & Python is a must
nExperience with big data systems such as Spark, PySpark, Databricks etc. is desired