Description
How you will make an impact:
- Hands-on experience involving software lifecycle development.
- Hands-on experience in Programming industrial level applications and related processes.
- Participate in new feature addition discussions with the other development teams and business teams.
- Participate and contribute to all Agile/Scrum ceremonies within the team and cross teams.
- Working on setting up non-prod environments and gain exposure of using them correctly.
- Expertise in working in a multinational organization environment.
- Proactive and Reactive Monitoring of Application Systems and Infrastructure.
- Improve communication skills, understanding the dynamics of working in a team.
- Reading, understanding, and writing technical documentation.
What we look for:
- Undergraduates reading for a degree in Data Engineering, Data Science, Computer Science, Software Engineering, IT, or any other related discipline (3rd year or 4th Year students) who are available for a 1-year internship.
- Work will be based on a hybrid model, with the expectation to attend on-site trainings and meetings as required.
- Have strong knowledge of OOP concepts and its applications.
- Have strong knowledge of Data structures and Algorithms and be able to analyze Algorithm's space and time complexity.
- Have strong knowledge and experience in at least one programming language such as Python or Java.
- Have strong knowledge and experience in database concepts and SQL queries.
- Knowledge in data warehousing concepts, ETL processes, and a broad understanding of data engineering practices. Experience with data-driven projects is a plus.
- Knowledge of web programming languages, including JavaScript and some of its frameworks, with experience in web projects, is an added advantage.
- Have a basic understanding of cloud-based environments such as AWS.
- Have excellent communication and problem-solving skills with solid theoretical background.
Skills
Data Analytics
SQL
scripting
data profiling
Industry Sector