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2 Days ago

Data Engineer II

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Chennai, Tamil Nadu, India
Information Technology
Part-Time
McKinsey & Company

Overview

Who You'll Work With

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:

  • Continuous learning: Our learning and apprenticeship culture, backed by structured programs, is all about helping you grow while creating an environment where feedback is clear, actionable, and focused on your development. The real magic happens when you take the input from others to heart and embrace the fast-paced learning experience, owning your journey.
  • A voice that matters: From day one, we value your ideas and contributions. You’ll make a tangible impact by offering innovative ideas and practical solutions. We not only encourage diverse perspectives, but they are critical in driving us toward the best possible outcomes.
  • Global community: With colleagues across 65+ countries and over 100 different nationalities, our firm’s diversity fuels creativity and helps us come up with the best solutions for our clients. Plus, you’ll have the opportunity to learn from exceptional colleagues with diverse backgrounds and experiences.
  • World-class benefits: On top of a competitive salary (based on your location, experience, and skills), we provide a comprehensive benefits package, which includes medical, dental, mental health, and vision coverage for you, your spouse/partner, and children.

Your Impact

You will work in multi-disciplinary global Life Science focused environments, harnessing data to provide real-world impact for organizations globally. Our Life Sciences practice focuses on helping clients bring life-saving medicines and medical treatments to patients. 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. It is also one of the most globally connected sector practices, offering ample global exposure.

The LifeSciences.AI (LS.AI) team is the practice’s assetization arm, focused on creating reusable digital and analytics assets to support our client work. LS.AI builds and operates tools that support senior executives in pharma and device manufacturers, for whom evidence-based decision-making and competitive intelligence are paramount. The team works directly with clients across Research & Development (R&D), Operations, Real World Evidence (RWE), Clinical Trials and Commercial to build and scale digital and analytical approaches to addressing their most persistent priorities.

What you’ll learn:

  • How to apply data and machine learning engineering, as well as product development expertise, to address complex client challenges through part-time staffing on client engagements.
  • How to support the manager of data and machine learning engineering in developing a roadmap for data and machine learning engineering assets across cell-level initiatives.
  • How to productionalize AI prototypes and create deployment-ready solutions.
  • How to translate engineering concepts and explain design/architecture trade-offs and decisions to senior stakeholders.
  • How to write optimized code to enhance our AI Toolbox and codify methodologies for future deployment.
  • How to collaborate effectively within a multi-disciplinary team.
  • How to leverage new technologies and apply problem-solving skills in a multicultural and creative environment.

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 analytics solutions to transform their businesses and enhance performance across industries including life sciences, global energy and materials (GEM), and advanced industries (AI) practices.

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.

Your Qualifications and Skills

  • Bachelor's degree in computer science or related field; master's degree is a plus
  • 3+ years of relevant work experience
  • Experience with at least one of the following technologies: Python, Scala, Java, C++ & ability to write production code and object-oriented programming
  • Strong proven experience on distributed processing frameworks (Spark, Hadoop, EMR) and SQL / NoSQL is very much expected
  • Commercial client- facing project experience is helpful, including working in close-knit teams
  • Additional expertise with Python testing frameworks, data validation and data quality frameworks, feature engineering, chunking, document ingestion, graph data structures (i.e., Neo4j), basic K8s (manifests, debugging, docker, Argo Workflows), MLflow deployment and usage, generative AI frameworks (LangChain), GPUs is a plus
  • Ability to work across structured, semi-structured, and unstructured data, extracting information and identifying linkages across disparate data sets
  • Proven ability in clearly communicating complex solutions; strong attention to detail
  • Understanding of information security principles to ensure compliant handling and management of client data
  • Experience and interest in Cloud platforms such as: AWS, Azure, Google Platform or Databricks
  • Experience with cloud development platforms such as AWS, Azure, Google (and appropriate Bash/Shell scripting)
  • Good to have experience in CI/CD using GitHub Actions or CircleCI or any other CI/CD tech stack and experience in end to end pipeline development including application deployment
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