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- Tasks: Dive into Data Engineering with hands-on projects like ETL processes and data visualization.
- Company: Join Oeson, a global leader in IT and Ed-tech services, known for innovation and excellence.
- Benefits: Enjoy a flexible remote work environment and collaborate with a diverse global team.
- Why this job: Gain real-world experience while working on exciting projects that impact businesses worldwide.
- Qualifications: Pursuing a degree in Computer Science or related fields; programming skills in Python, Java, or SQL required.
- Other info: This is an unpaid internship, perfect for building your resume and networking globally.
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 ,Glasgow, Scotland, United Kingdom
Data Engineering Training & Internship employer: Oeson™
Contact Detail:
Oeson™ Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineering Training & Internship
✨Tip Number 1
Familiarize yourself with the specific technologies mentioned in the job description, such as Hadoop and Spark. Having hands-on experience or projects showcasing your skills in these areas can set you apart from other candidates.
✨Tip Number 2
Engage with online communities or forums related to data engineering. Networking with professionals in the field can provide insights into the role and may even lead to referrals or recommendations.
✨Tip Number 3
Prepare to discuss your programming skills in Python, Java, or SQL during any interviews. Be ready to share examples of how you've used these languages in past projects or coursework.
✨Tip Number 4
Show your enthusiasm for learning and collaboration. Highlight any previous experiences where you worked in a team or took the initiative to learn new skills, as this aligns well with Oeson's focus on professional growth.
We think you need these skills to ace Data Engineering Training & Internship
Some tips for your application 🫡
Understand the Company: Familiarize yourself with Oeson's mission and services. Highlight your enthusiasm for their focus on innovation and excellence in IT and Ed-tech, and how you can contribute to their projects.
Tailor Your CV: Make sure your CV reflects your current studies in Computer Science or related fields. Emphasize any relevant coursework, projects, or skills in programming languages like Python, Java, or SQL that align with the role.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data engineering and your eagerness to learn. Mention specific projects or technologies listed in the job description that excite you and how you can contribute to them.
Highlight Teamwork and Communication Skills: Since collaboration is key in this role, provide examples of past experiences where you successfully worked in a team. Emphasize your communication skills and adaptability, which are essential for working with a global team.
How to prepare for a job interview at Oeson™
✨Show Your Passion for Data Engineering
Make sure to express your enthusiasm for data engineering during the interview. Share any relevant projects or coursework that demonstrate your commitment to learning and growing in this field.
✨Highlight Your Technical Skills
Be prepared to discuss your proficiency in programming languages like Python, Java, or SQL. Provide examples of how you've used these skills in past projects or academic work to solve problems or create solutions.
✨Demonstrate Team Collaboration
Since this role involves working with a global team, emphasize your ability to collaborate effectively. Share experiences where you successfully worked in a team setting, highlighting your communication skills and adaptability.
✨Ask Insightful Questions
Prepare thoughtful questions about the projects you'll be working on, the technologies used, and the team's dynamics. This shows your genuine interest in the role and helps you understand if it's the right fit for you.
