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- Tasks: Join us as a Data Engineering Program Intern, working on real-world data projects.
- Company: Oeson Learning empowers individuals with skills for career success through hands-on training and internships.
- Benefits: Enjoy remote work, gain valuable experience, and receive certificates for your achievements.
- Why this job: Perfect for those eager to learn and tackle challenges in data engineering with industry experts.
- Qualifications: No prior experience needed; basic knowledge of SQL or Python is a plus.
- Other info: This is an unpaid internship focused on skill development and portfolio building.
About the Company
Oeson Learning is a dynamic and innovative career growth platform under Oeson Private Limited. Our mission is to empower professionals and individuals with the skills and knowledge they need to excel in their careers. We offer specialized, hands-on training and internship programs that combine real-world experience with cutting-edge industry practices. With a focus on quality training and internship support, Oeson Learning is committed to shaping the future leaders of tomorrow by providing them with the tools to succeed in their chosen fields.
As a Data Engineering Program Intern at Oeson Learning, you will embark on an intensive three-month training and internship program designed to provide both theoretical knowledge and practical experience in Data Engineering. This role is perfect for individuals who are eager to work with large datasets, build data pipelines, and develop scalable data solutions while working on real-world projects.
- Participate in hands-on training covering key Data Engineering concepts.
- Work alongside industry experts on real-time data projects, gaining practical experience in data processing, ETL pipelines, and cloud data solutions.
- Apply your learning in parallel with an internship, where you will contribute to building and managing scalable data pipelines.
- Gain experience with SQL, Python, Apache Spark, Hadoop, and cloud platforms like AWS, GCP, or Azure.
- Learn how to optimize, clean, and process large datasets for analytics and AI applications.
- Collaborate with peers and mentors to design data models, warehouse architectures, and big data solutions.
- Receive continuous feedback and support to refine your skills in data transformation, automation, and performance tuning.
Data Engineering Fundamentals: Understanding data architectures, ETL processes, and big data ecosystems.
Database Management: Working with SQL, NoSQL, and data warehouses like Snowflake, Redshift, and BigQuery.
Data Pipelines & ETL: Building automated workflows using Apache Airflow, Spark, and Hadoop.
Cloud Data Engineering: Learning how to store, process, and analyze big data using AWS, GCP, or Azure.
Data Processing & Optimization: Implementing data transformation, cleaning, and performance tuning techniques.
Data Security & Governance: Understanding best practices for securing and managing large-scale data systems.
Certificate of Internship ✅ Certificate of Training ✅ LinkedIn Profile Building ✅ Personal Branding ✅ Resume Building
Strong interest in Data Engineering, Big Data, and Cloud Technologies. Eager to learn and take on challenges, no prior experience required. Basic understanding of SQL, Python, or databases is a plus (but not mandatory). Enthusiastic about gaining hands-on experience and working on real-world data engineering projects.
Workplace Type: Remote. This is an unpaid internship, designed for individuals who are truly passionate about learning and gaining hands-on experience in Data Engineering. If you are eager to upskill, work on industry-level projects, and build a strong portfolio, we encourage you to apply!
Data Engineer - SQL - Remote employer: Oeson Learning™
Contact Detail:
Oeson Learning™ Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer - SQL - Remote
✨Tip Number 1
Familiarise yourself with the key technologies mentioned in the job description, such as SQL, Python, and cloud platforms like AWS or GCP. Having a basic understanding of these tools will not only boost your confidence but also help you engage in meaningful conversations during interviews.
✨Tip Number 2
Connect with current or former interns at Oeson Learning on LinkedIn. Ask them about their experiences and any tips they might have for succeeding in the internship. This insider knowledge can give you an edge and show your genuine interest in the role.
✨Tip Number 3
Prepare to discuss real-world data projects you've worked on, even if they're personal or academic. Highlighting your hands-on experience, no matter how small, demonstrates your enthusiasm for data engineering and your ability to apply theoretical knowledge practically.
✨Tip Number 4
Showcase your eagerness to learn by asking insightful questions during any interactions with the company. This could be during an interview or even in follow-up communications. It reflects your passion for the field and your commitment to personal growth.
We think you need these skills to ace Data Engineer - SQL - Remote
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights any relevant skills or experiences related to Data Engineering, SQL, and cloud technologies. Even if you lack direct experience, emphasise your eagerness to learn and any related coursework or projects.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for Data Engineering and your motivation to join Oeson Learning. Mention specific aspects of the internship that excite you, such as working with large datasets or collaborating with industry experts.
Showcase Relevant Skills: In your application, clearly outline any familiarity you have with SQL, Python, or data processing tools. If you have completed any online courses or personal projects, include those to demonstrate your commitment to learning.
Express Your Enthusiasm: Convey your enthusiasm for the role and the opportunity to gain hands-on experience. Highlight your willingness to take on challenges and your desire to contribute to real-world data projects during the internship.
How to prepare for a job interview at Oeson Learning™
✨Show Your Passion for Data Engineering
Make sure to express your enthusiasm for data engineering and big data technologies during the interview. Share any personal projects or experiences that demonstrate your interest, even if they are not professional.
✨Brush Up on SQL and Python Basics
While prior experience isn't mandatory, having a basic understanding of SQL and Python will give you an edge. Be prepared to discuss how you've used these languages in any capacity, whether in coursework or personal projects.
✨Familiarise Yourself with Data Tools
Research common tools and technologies mentioned in the job description, such as Apache Spark, Hadoop, and cloud platforms like AWS or GCP. Being able to discuss these tools will show your commitment to learning and adapting.
✨Prepare Questions for Your Interviewers
Think of insightful questions to ask your interviewers about the internship programme, the team you'll be working with, and the types of projects you'll be involved in. This shows your genuine interest and helps you assess if the role is right for you.
