Continental campus drive 2023 | Graduate Engineer Trainee

2023-04-11 Click here to join our placement whatsapp group

• Practical experience and proficiency in data modeling & analysis (with Python, R) in a corporate context
• Familiar with relational databases (SQL, Oracle)
• experience in data visualization and building dashboards (e. g, R-Shiny, Spark)
• Knowledge of cloud platforms e. g. AWS and Big Data technologies
• Familiarity with the Linux command line
• fluent in English (written and spoken)
• Creative mindset and excellent analytical and problem-solving skills
• good knowledge in statistics and machine learning algorithms
• Experience in processing structured data and construction of time series models and anomaly detection
• Understanding of web frameworks/packages (e.g. node.js, react, Django)
• hands-on experience in model-driven analysis tools such as Knime and visualization applications, e. g. PowerBI is a big plus

Qualification : Bachelors in Computer Science Engineering or a related field

Participate in requirements analysis
• Collaborate with internal teams to produce software design
and architecture
• Write clean, scalable code using .NET programming
languages
• Test and deploy applications and systems
• Revise, update, refactor and debug code
• Improve existing software
• Develop documentation throughout the software
development life cycle (SDLC)
• Serve as an expert on applications and provide technical
support

Click here to Apply

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