【マッキンゼー・アンド・カンパニー】Senior Data Engineer
仕事内容
WHO YOU'LL WORK WITH
You will be part of our global Data Engineering community and you will work in cross-functional Agile project teams alongside Data Scientists, Machine Learning Engineers, other Data Engineers, Project Managers, and industry experts.
You will work hand-in-hand with our clients, from data owners, users, and fellow engineers to C-level executives.
While we advocate for using the right tech for the right task, we leverage technologies including: 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! We also launched QB Horizon to help clients scale AI.
YOUR IMPACT WITHIN OUR FIRM
Only at McKinsey you will work on real-world, high-impact projects across a variety of industries.
You will have the opportunity to collaborate with QB/Labs teams and build complex and innovative ML systems to accelerate our work in AI – and help solve business problems at speed and scale.
You will experience the best environment to grow as a technologist and a leader. You will develop a sought-after perspective connecting technology and business value by working on real-life problems across a variety of industries and technical challenges to serve our clients on their changing needs.
Surrounded by inspiring individuals as part of diverse and multidisciplinary teams, you will develop a holistic perspective of AI by partnering with the best design, technical, and business talent in the world as your team members.
As a Senior Data Engineer, you’ll:
・Own the technical platform for advanced analytics engagements, spanning data science and data engineering work
・Design and build data pipelines for machine learning that are robust, modular, scalable, deployable, reproducible, and versioned
・Create and manage data environments and ensure information security standards are maintained at all times
・Own and be accountable for the delivery of technical work streams while also mentoring and guiding more junior colleagues
・Understand clients data landscape and assess data quality
・Map data fields to hypotheses and curate, wrangle, and prepare data for use in advanced analytics models
・Have the opportunity to contribute to R&D projects and internal asset development
・Contribute to cross-functional problem-solving sessions with your team and our clients to address their needs and build impactful analytics solutions
・Work with C-suite executives and client tech team in problem-solving on their key issues and provide recommendations through analytical approach
応募資格(必須経験など)
YOUR QUALIFICATIONS AND SKILLS
・Ability to write clean, maintainable, scalable and robust code in an object-oriented language, e.g., Python, Scala, Java, in a professional setting
・Proven experience building data pipelines in production for advanced analytics use cases
・Experience working across structured, semi-structured and unstructured data
・Familiarity with distributed computing frameworks (e.g. Spark, Dask), cloud platforms (e.g. AWS, Azure, GCP), containerization, and analytics libraries (e.g. pandas, NumPy, matplotlib)
・Degree in computer science, engineering, mathematics, or equivalent experience
・PhD degree or equivalent with 5+ years relevant professional experience
・Native in Japanese and fluent in English