You need python and sql only.

To secure an internship or entry-level job in Data Engineering, start by obtaining a relevant degree in Computer Science, Data Science, or a related field, and supplement your education with online courses and certifications in data engineering tools and technologies. Build a strong portfolio showcasing personal projects and contribute to open-source data projects on platforms like GitHub. Networking is crucial, so attend industry events, workshops, and use LinkedIn to connect with professionals in the field and seek guidance. Apply for internships to gain practical experience, or volunteer for data-related projects if direct internships are unavailable. Tailor your resume and cover letter to highlight data engineering skills and relevant experience. Utilize online job portals, company websites, and professional networks to search for opportunities actively. Practice common data engineering interview questions and be ready to discuss your projects and technical abilities. Stay updated with the latest trends and technologies in data engineering through continuous learning. Demonstrate enthusiasm, adaptability, and perseverance during the job search, as the process may take time and effort.

For Data Engineering below are the tips but for the referral for the top product based companies we can connect on preplaced for Long Term Mentorship , I will help you to achieve job in Top Product based companies as I had offer from product-based like Walmart, Google, Amazon, Uber, Atlassian, Morgan Stanley,Intuit, Apple, Fin tech companies, Startups & FAANG based companies

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𝐇𝐞𝐫𝐞 𝐚𝐫𝐞 𝐬𝐨𝐦𝐞 𝐭𝐢𝐩𝐬 𝐭𝐨 𝐡𝐞𝐥𝐩 𝐲𝐨𝐮 𝐚𝐜𝐞 𝐭𝐡𝐞 𝐢𝐧𝐭𝐞𝐫𝐯𝐢𝐞𝐰:

📌 𝐔𝐧𝐝𝐞𝐫𝐬𝐭𝐚𝐧𝐝 𝐭𝐡𝐞 𝐉𝐨𝐛 𝐑𝐞𝐪𝐮𝐢𝐫𝐞𝐦𝐞𝐧𝐭𝐬: Review the job description and understand the specific skills and technologies required for the data engineering role. Focus your preparation on those areas to ensure you have a solid foundation.

📌 𝐒𝐭𝐮𝐝𝐲 𝐃𝐚𝐭𝐚 𝐒𝐭𝐫𝐮𝐜𝐭𝐮𝐫𝐞𝐬 𝐚𝐧𝐝 𝐀𝐥𝐠𝐨𝐫𝐢𝐭𝐡𝐦𝐬: Refresh your knowledge of essential data structures like arrays, linked lists, queues, stacks, trees, and graphs. Understand their properties, operations, and common algorithms associated with them. You can refer #crackingthecodinginterview book ✍

📌 𝐌𝐚𝐬𝐭𝐞𝐫 𝐓𝐢𝐦𝐞 𝐂𝐨𝐦𝐩𝐥𝐞𝐱𝐢𝐭𝐲 𝐀𝐧𝐚𝐥𝐲𝐬𝐢𝐬: Practice analyzing the time complexity of algorithms. Understand concepts like Big O notation, best-case, worst-case, and average-case complexity. Be able to identify the most efficient algorithm for a given problem.

📌 𝐒𝐨𝐥𝐯𝐞 𝐂𝐨𝐝𝐢𝐧𝐠 𝐏𝐫𝐨𝐛𝐥𝐞𝐦𝐬: Practice solving coding problems that are commonly asked in data engineering interviews. Start with easier problems and gradually progress to more challenging ones.

📌 𝐑𝐞𝐯𝐢𝐞𝐰 𝐃𝐚𝐭𝐚𝐛𝐚𝐬𝐞 𝐂𝐨𝐧𝐜𝐞𝐩𝐭𝐬: Brush up on your knowledge of database concepts, including SQL queries, normalization, indexing, and data modeling. Understand the differences between various types of databases, such as relational, NoSQL, and columnar databases.

📌 𝐃𝐚𝐭𝐚 𝐏𝐫𝐨𝐜𝐞𝐬𝐬𝐢𝐧𝐠 𝐚𝐧𝐝 𝐄𝐓𝐋: Familiarize yourself with data processing techniques and ETL (Extract, Transform, Load) workflows. Understand concepts like data ingestion, data transformation, data quality, and data integration.

📌 𝐏𝐫𝐚𝐜𝐭𝐢𝐜𝐞 𝐒𝐲𝐬𝐭𝐞𝐦 𝐃𝐞𝐬𝐢𝐠𝐧: Data engineering often involves designing scalable and efficient data processing systems. Practice system design questions that focus on data pipelines, distributed computing, scalability, fault tolerance, and data storage.

📌 𝐒𝐭𝐚𝐲 𝐔𝐩-𝐭𝐨-𝐃𝐚𝐭𝐞 𝐰𝐢𝐭𝐡 𝐈𝐧𝐝𝐮𝐬𝐭𝐫𝐲 𝐓𝐨𝐨𝐥𝐬: Stay informed about popular data engineering tools and technologies, such as Apache Spark, Hadoop, Apache Kafka, SQL databases, cloud platforms (AWS, GCP, Azure), and data warehousing solutions.

📌 𝐌𝐨𝐜𝐤 𝐈𝐧𝐭𝐞𝐫𝐯𝐢𝐞𝐰𝐬 𝐚𝐧𝐝 𝐏𝐫𝐚𝐜𝐭𝐢𝐜𝐞: Conduct mock interviews with friends or join coding interview practice groups. Practice articulating your thoughts and explaining your problem-solving approach. Get feedback and improve your interview skills.

Good luck! 😊

We can connect on preplaced for Long Term Mentorship , I will help you to achieve job in Top Product based companies as I had offer from product-based like Walmart, Google, Amazon, Uber, Atlassian, Morgan Stanley,Intuit, Apple, Fin tech companies, Startups & FAANG based companies

Hello Aney Kaushik,

It's great to hear about your interest in pursuing an internship or entry-level position in Data Engineering. To embark on this journey, start by building a strong foundation in essential technical skills such as programming languages (Python, Java), databases, and data processing frameworks.

Next, engage in hands-on projects that showcase your abilities. Developing data pipelines and working with real datasets will demonstrate your practical expertise. Explore online courses and certifications in Data Engineering to further enhance your knowledge.

Networking is key – attend industry meetups, conferences, and connect with professionals in the field. Tailor your resume to highlight relevant skills and projects, and keep an eye on job platforms for suitable openings.

Lastly, maintain a proactive and enthusiastic approach. Your dedication to continuous learning and practical experience will set you on a path to successfully securing an internship or entry-level role in Data Engineering.

To get a tailored approach to your question please reach out here https://app.preplaced.in/profile/raghu-datta

Aney, I could help you for Entry level jobs/internships. As I guide freshers, early & mid career professionals for their job search approach. Being a experienced recruiter, I know the platforms where, how to connect & get the interviews calls from hiring team. Book a trial session to connect further