Pune, Maharashtra, India
Experience :
Entry level,Internship
Closes on :
Jul 20, 2024
Company Overview:
Roche fosters diversity, equity, and inclusion, representing the communities we serve. When dealing with healthcare on a global scale, diversity is an essential ingredient to success. We believe that inclusion is key to understanding people's varied healthcare needs. Together, we embrace individuality and share a passion for exceptional care. Join Roche, where every voice matters.
The Position:
Requirements:
- Currently pursuing a Bachelor's or Master's degree in Computer Science, Data Science, or a related field.
- Strong understanding of data engineering concepts, data structures, and algorithms.
- Proficiency in at least one programming language commonly used in data engineering, such as Python, R, etc.
- AI experience/exposure or familiarity with AI principles is required.
- Courses and comfort level with at least one of the following: computer programming, machine learning, graph theory, algorithms, statistics, SQL, and linear algebra are essential for success.
- Experience with major programming languages is beneficial.
- Demonstrated initiative/innovation in coursework and projects.
- Familiarity with SQL and experience in working with relational databases (e.g., PostgreSQL, MySQL, etc.).
- Basic knowledge of Cloud Technology, i.e., AWS, GCP.
- Basic knowledge of big data technologies and frameworks, such as Apache Hadoop, Spark, or Kafka.
- Understanding of data modeling concepts and experience with data modeling tools.
- Strong problem-solving and analytical skills, with attention to detail.
- Excellent communication and teamwork skills.
- Self-motivated with the ability to work independently and manage tasks effectively.
Who We Are:
At Roche, more than 100,000 people across 100 countries are pushing back the frontiers of healthcare. Working together, we've become one of the world's leading research-focused healthcare groups. Our success is built on innovation, curiosity, and diversity. Roche is an Equal Opportunity Employer.