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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 innovative training and internships.
- Benefits: Gain valuable experience, receive certificates, and enhance your LinkedIn profile while working remotely.
- 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 hands-on learning and building a strong portfolio.
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 (m/w/d) employer: Oeson Learning™
Contact Detail:
Oeson Learning™ Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer SQL - Remote (m/w/d)
✨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
Network with professionals in the data engineering field through platforms like LinkedIn. Join relevant groups and participate in discussions to showcase your enthusiasm for data engineering and to learn from others' experiences.
✨Tip Number 3
Consider working on personal projects that involve building data pipelines or processing datasets. This hands-on experience will not only enhance your skills but also provide you with concrete examples to discuss during interviews.
✨Tip Number 4
Prepare thoughtful questions about the internship programme and the company’s approach to data engineering. This shows your genuine interest in the role and helps you stand out as a candidate who is eager to learn and contribute.
We think you need these skills to ace Data Engineer SQL - Remote (m/w/d)
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 desire to gain hands-on experience. 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, highlight any familiarity with SQL, Python, or data processing tools. If you have completed any online courses or personal projects related to these areas, be sure to mention them.
Express Your Enthusiasm: Convey your enthusiasm for the opportunity to learn and grow in the field of Data Engineering. Companies like Oeson Learning appreciate candidates who are genuinely excited about the role and eager to contribute to real-world projects.
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 during the interview. Talk about any projects or experiences, even if they are academic, that sparked your interest in working with data. Companies like Oeson Learning appreciate candidates who are genuinely excited about the field.
✨Brush Up on SQL and Python Basics
While prior experience isn't mandatory, having a basic understanding of SQL and Python can set you apart. Be prepared to discuss how you've used these languages in any capacity, whether in coursework or personal projects. This shows your readiness to learn and apply new skills.
✨Familiarise Yourself with Data Engineering Concepts
Before the interview, take some time to review key data engineering concepts such as ETL processes, data pipelines, and cloud platforms like AWS or GCP. Being able to discuss these topics will demonstrate your commitment to the role and your eagerness to learn.
✨Prepare Questions for Your Interviewers
Having thoughtful questions ready for your interviewers can show your genuine interest in the internship. Ask about the types of projects you might work on, the team dynamics, or how feedback is provided during the training. This not only helps you gauge if the role is right for you but also leaves a positive impression.
