Data Engineer Internship
Procter & Gamble Visualizza tutti gli annunci
- Roma
- Formazione
- Full time
- Develop and maintain minimal viable prototypes to scalable data pipelines that will ingest, transform and distribute numerous data streams and batches in support of key Market Operation initiatives.
- Support and collaborate with Data Scientists to develop advanced machine learning and statistical models.
- Evaluate tools and develop pipelines to capture, integrate and clean data to support edge analytics solutions.
- Deliver optimal data solution architectures, automation and technical choices starting from experimentation through proof of concept and often through delivery.
- Grow your skills continuously, improving your mastery in big data. You will have the opportunity to explore new ways to learn and to connect with internal and external guides worldwide.
- Responsibilities as of Day 1 – You will be given specific projects and responsibilities working on real and live business challenges, just like a true P&Ger;
- Continuous coaching – You will work with passionate people and receive both formal training as well as day-to-day mentoring from your manager;
- Dynamic and respectful work environment – Employees are at the core, we value every individual and encourage initiatives, promoting work/life balance.
- Be a penultimate or final year Master student from one of the following degree sets: Statistics, Applied Mathematics, Economics, Computer Science, Data Science, Business Analytics, Operation Research, Software Development, Computer or Electrical Engineering or a similar quantitative field.
- Have Academic excellence at all stages through school and University education.
- Have a good knowledge of English.
- Proven leadership and teamwork skills, with a “can-do” approach and an unusual skew to innovate.
- Familiarity with machine learning workflows and data pipelines.
- Nice to have: experience with Analytical Tools/Applications such as:
- Scientific Computing: Python, SQL, Pyspark;
- Data Visualization: Power BI
- Basic concept of Big Data Ecosystem: Spark, SQL Databricks, Git.
- Basic concept of Microsoft Azure Platform and Google Cloud Platform.
- Have availability for a minimum 6 months of internship.