Job ID 102952 - Chennai - Gurugram 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 YOUR IMPACT As a Data Engineer I at McKinsey Company you will play a key role in designing building and deploying scalable data pipelines and infrastructure that enable our analytics and AI solutions You will work closely with product managers developers asset owners and client stakeholders to turn raw data into trusted structured and high-quality datasets used in decision-making and advanced analytics Your core responsibilities will include but are not limited to Developing robust scalable data pipelines for ingesting transforming and storing data from multiple structured and unstructured sources using Python SQL Creating and optimizing data models and data warehouses to support reporting analytics and application integration Working with cloud-based data platforms AWS Azure or GCP to build modern efficient and secure data solutions Contributing to R D projects and internal asset development Contributing to infrastructure automation and deployment pipelines using containerization and CI CD tools Collaborating across disciplines to integrate data engineering best practices into broader analytical and generative AI gen AI workflows Supporting and maintaining data assets deployed in client environments with a focus on reliability scalability and performance Furthermore you will be able to explore and contribute to solutions involving generative AI such as vector embeddings retrieval-augmented generation RAG semantic search and LLM-based prompting especially as we integrate gen AI capabilities into our broader data ecosystem YOUR GROWTH 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 workplace 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 all while upholding our unwavering commitment to ethics and integrity 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 to enable holistic well-being for you and your family YOUR QUALIFICATIONS AND SKILLS Bachelor s degree in computer science engineering mathematics or a related technical field or equivalent practical experience 3 years of experience in data engineering analytics engineering or a related technical role Strong Python programming skills with demonstrated experience building scalable data workflows and ETL ELT pipelines Proficient in SQL with experience designing normalized and denormalized data models Hands-on experience with orchestration tools such as Airflow Kedro or Azure Data Factory ADF Familiarity with cloud platforms AWS Azure or GCP for building and managing data infrastructure Proven critical thinking and creative problem-solving skills an ability to influence and work in teams Entrepreneurial mindset and ownership mentality are must desire to learn and develop within a dynamic self-led organization Hands-on experience with containerization technologies Docker Docker-compose Hands-on experience with automation frameworks Github Actions CircleCI Jenkins etc Exposure to generative AI tools or concepts e g OpenAI Cohere embeddings vector databases Discernable communication skills especially around breaking down complex structures into digestible and relevant points for a diverse set of clients and colleagues at all levels

📌 Data Engineer I (Tamil Nadu)
🏢 McKinsey
📍 Tamil Nadu