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- Tasks: Join us to learn Data Engineering while working on exciting live projects globally.
- Company: Oeson is a top IT corporation known for innovative IT and Ed-tech services.
- Benefits: Enjoy a flexible remote work environment and collaborate with a diverse global team.
- Why this job: Gain hands-on experience in data engineering and work with cutting-edge technologies.
- 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 gaining valuable experience.
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 the interview. Be ready to share examples of how you've used these languages in past projects or coursework.
✨Tip Number 4
Showcase your ability to work in a team by highlighting any collaborative projects you've been part of. Emphasizing your teamwork skills will resonate well with Oeson's global team environment.
We think you need these skills to ace Data Engineering Training & Internship
Some tips for your application 🫡
Understand the Role: Take the time to thoroughly read the job description for the Data Engineering Training & Internship at Oeson. Understand the key responsibilities and required qualifications to tailor your application accordingly.
Highlight Relevant Skills: Make sure to emphasize your proficiency in programming languages like Python, Java, or SQL, as well as your familiarity with database management systems. Provide specific examples of projects or coursework that demonstrate these skills.
Craft a Compelling Cover Letter: Write a cover letter that showcases your enthusiasm for data engineering and your eagerness to learn. Mention how your background aligns with Oeson's mission and the specific projects you are excited to work on.
Proofread Your Application: Before submitting, carefully proofread your CV and cover letter for any grammatical errors or typos. A polished application reflects your attention to detail and professionalism.
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. Mention any experience you have with database management systems such as MySQL or PostgreSQL, as these are crucial for the role.
✨Demonstrate Problem-Solving Abilities
Prepare to showcase your analytical and problem-solving skills. You might be asked to solve a technical problem or discuss how you've approached challenges in past projects, so think of examples that highlight your abilities.
✨Emphasize Teamwork and Communication Skills
Since you'll be working in a global team, it's important to convey your ability to collaborate effectively. Share experiences where you've successfully worked in teams and how you communicate complex concepts clearly.
