27 may
|
McKinsey
|
Santiago
Postúlate en Kit Empleo: kitempleo.cl/empleo/1dajmd
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:
- You will be part of interdisciplinary teams of data scientists, engineers, designers, and business experts to help solve complex and impactful challenges using data. As a Data Engineer, you will be responsible for designing and building the data foundations that power our analytical solutions.
- You will work closely with clients and internal teams to understand data requirements, extract information from diverse sources, build robust pipelines, and ensure data is accessible, reliable, and production-ready. Your work will enable our data science teams to build impactful models and insights, supporting high-stakes decisions in industries such as healthcare, energy, retail, and elite sports.
Your Growth:
- You will be based in our Santiago office as part of the QuantumBlack team.
- You’ll gain hands-on experience in building data products across a wide range of industries, supported by experts from QuantumBlack and McKinsey.
- You will learn how to approach real-world problems with practical solutions, collaborating with data scientists and other specialists to deliver robust, scalable, and innovative data pipelines. You’ll have access to our internal learning platforms, technical mentorship, and integral community, and will have the chance to contribute to internal R&D; initiatives and open-source tools like Kedro.
Your qualifications and skills:
- Bachelor’s or master’s degree in computer science, engineering, or a related field
- 2+ years of experience in data engineering or backend software development
- Proficiency in Python, Scala, or Java
- Experience designing and building data pipelines using tools such as Pandas, PySpark, Kedro, Airflow, and others
- Solid knowledge of relational databases and experience working with diverse
Postúlate en Kit Empleo: kitempleo.cl/empleo/1dajmd
📌 Data Engineer (Santiago)
🏢 McKinsey
📍 Santiago