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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 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 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, Manchester, England, United Kingdom
Data Engineering Training & Internship employer: CONNECTMETA.AI
Contact Detail:
CONNECTMETA.AI 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 valuable insights and potentially lead to referrals for the internship.
✨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 adaptability and communication skills will resonate well with the global team environment at Oeson.
We think you need these skills to ace Data Engineering Training & Internship
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities and projects involved in the Data Engineering Training & Internship. Tailor your application to highlight relevant skills and experiences that align with these tasks.
Highlight Relevant Skills: Emphasize your proficiency in programming languages like Python, Java, or SQL, as well as your familiarity with database management systems. Provide specific examples of how you've used these skills in past projects or coursework.
Showcase Your Passion for Learning: Since this internship is focused on continuous learning, express your enthusiasm for the field of data engineering. Mention any relevant courses, certifications, or personal projects that demonstrate your commitment to professional growth.
Craft a Strong Cover Letter: Write a compelling cover letter that not only outlines your qualifications but also conveys your excitement about working with a global team and contributing to live projects. Make it personal and engaging to stand out from other applicants.
How to prepare for a job interview at CONNECTMETA.AI
✨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 this will show your technical readiness for the role.
✨Demonstrate Problem-Solving Abilities
Prepare to discuss specific examples where you've tackled analytical challenges. This could involve explaining how you approached a problem, the steps you took, and the outcome, showcasing your strong analytical skills.
✨Emphasize Teamwork and Communication Skills
Since collaboration is key in this role, be ready to share experiences where you worked effectively in a team. Highlight your communication skills by discussing how you conveyed complex concepts to others, which is essential for successful collaboration.
