Data Engineering Training & Internship

Details of the offer

About the Company: Oeson is a leading IT corporation globally recognized for its expertise in providing top-notch IT and Ed-tech services.
Specializing in digital marketing, data science, data analytics, business analytics, cyber security, UI-UX design, web development, and app development, we are dedicated to innovation, excellence, and empowering talents worldwide.
About the Role: Oeson is seeking enthusiastic individuals who are looking to learn with us in the field of Data Engineering while working on live projects internationally.
We are not just offering a flexible work environment but also offering to work with people in a global team all around from Oceania, Asia, Europe, & American continents.
Projects You Will Work On: Data Warehousing ETL (Extract, Transform, Load) Processes Data Modelling and Database Management Data Pipeline Development Data Quality Assurance Big Data Technologies (e.g., Hadoop, Spark) Data Visualization Roles & Responsibilities: Collaborate with experienced data engineering professionals and global team members.
Participate in designing and implementing data warehousing solutions.
Develop and maintain ETL processes to ensure efficient data flow.
Contribute to data modelling efforts for optimized database structures.
Assist in building and maintaining data pipelines for real-time and batch processing.
Conduct quality assurance checks to ensure data accuracy and consistency.
Explore and utilize big data technologies for scalable data processing.
Create visually appealing data visualizations to communicate insights effectively.
Qualifications: Currently pursuing a degree in Computer Science, Engineering, or related fields, demonstrating a strong commitment to continuous learning and professional growth.
Proficient in programming languages such as Python, Java, or SQL.
Familiarity with database management systems (e.g., MySQL, PostgreSQL).
Strong analytical and problem-solving skills, with attention to detail.
Excellent written and verbal communication skills, essential for effective collaboration and conveying complex concepts.
Ability to work independently and as part of a team, showcasing adaptability and strong teamwork capabilities.
Note: This position is unpaid.
After submitting your application, our team will contact you to proceed with the application details and joining process.
Location: Remote, London


Nominal Salary: To be agreed

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