Do you want to work on complex and pressing challenges—the kind that bring together curious, ambitious, and determined leaders who strive to become better every day? If this sounds like you, you’ve come to the right place.
As a Data Engineer at QuantumBlack, you will collaborate with stakeholders, data scientists, and internal teams to develop and implement data products and solutions. Key responsibilities include building and maintaining technical platforms for advanced analytics, designing scalable and reproducible data pipelines for machine learning, and ensuring information security in data environments.
You will assess clients' data quality, map data fields to hypotheses, and prepare data for analytics models.
Additionally, you will contribute to R&D projects, internal asset development, and cross-functional problem-solving sessions with various stakeholders, including C-level executives, to create impactful analytics solutions.
You will be based in Gurugram or Bengaluru as part of a global data engineering community and you will work in cross-functional and Agile project teams alongside project managers, data scientists, machine learning engineers, other data engineers and industry experts. You will work hand in hand with our clients from data owners and users to C-level executives.
You will be aligned to one of our practice Pharma & Medical Products (PMP) or Global Energy & Materials (GEM) to work on similar industry clients.
Our PMP practice focuses on helping clients bring life-saving medicines and medical treatments to patients. You will work with the Advanced Analytics team across Research & Development (R&D), Operations, and Commercial to build and scale digital and analytical approaches. This practice is one of the fastest growing practices and is comprised of a tight-knit community of consultants, research, solution, data, and practice operations colleagues across the firm. PMP is also one of the most globally connected sector practices, offering ample global exposure.
Our GEM practice supports clients in a wide range of industries including chemicals, steel, mining, pulp & paper, electric power and oil & gas, among other on the way to operational excellence. Energy and materials industries are big and important to the world’s economy and you as a key player will face significant challenges such as meeting growing demands, operating productively, and managing gigantic capital investments. McKinsey has an unparalleled reputation in these industries across the world, and today serves most of the top players globally.
GEMx and PMPx is the practice’s assetization arm focused on creating reusable digital and analytics assets to support our client work. They work directly with clients to build and scale digital and analytical approaches to addressing their most persistent priorities e.g., PMPx builds and operates tools that support senior executives in pharma and device manufacturers, for whom evidence-based decision-making and competitive intelligence are paramount. As part of our group, you will join a global practice solving problems for large organizations in our GEM practice and building their capabilities for sustained impact.
You will work on the frameworks and libraries that our teams of Data Scientists and Data Engineers use to progress from data to impact.
You will guide global companies through data science solutions to transform their businesses and enhance performance across industries including healthcare, automotive, energy and elite sport.
Real-World Impact: We provide unique learning and development opportunities internationally.
Fusing Tech & Leadership: We work with the latest technologies and methodologies and offer first class learning programs at all levels.
Multidisciplinary Teamwork: Our teams include data scientists, engineers, project managers, UX and visual designers who work collaboratively to enhance performance.
Innovative Work Culture: Creativity, insight and passion come from being balanced. We cultivate a modern work environment through an emphasis on wellness, insightful talks and training sessions.
Striving for Diversity: With colleagues from over 40 nationalities, we recognize the benefits of working with people from all walks of life.
While we advocate for using the right tech for the right task, we often leverage the following technologies: Python, PySpark, the PyData stack, SQL, Airflow, Databricks, our own open-source data pipelining framework called Kedro, Dask/RAPIDS, container technologies such as Docker and Kubernetes, cloud solutions such as AWS, GCP, and Azure, and more!
As a Data Engineer, you will:
Driving lasting impact and building long-term capabilities with our clients is not easy work. You are the kind of person who thrives in a high performance/high reward culture - doing hard things, picking yourself up when you stumble, and having the resilience to try another way forward.
In return for your drive, determination, and curiosity, we'll provide the resources, mentorship, and opportunities you need to become a stronger leader faster than you ever thought possible. Your colleagues—at all levels—will invest deeply in your development, just as much as they invest in delivering exceptional results for clients. Every day, you'll receive apprenticeship, coaching, and exposure that will accelerate your growth in ways you won’t find anywhere else.
When you join us, you will have:
Please review the additional requirements regarding essential job functions of McKinsey colleagues.
FOR U.S. APPLICANTS: McKinsey & Company is an Equal Opportunity 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.
Read Full Description