To get job into a Data Engineer,

As a mentor, I can help you to take your career to the next level whether you want to transition into big data roles or want to switch to product-based like Walmart, Google, Amazon, Uber, Atlassian, Morgan Stanley, Intuit, Apple, Fintech companies, Startups & FAANG based companies or upgrade your role to data engineering role.

I have cracked the top 50 Product companies in data engineering roles starting my career. If you want to crack also, You can connect with me for Long long-term mentorship program & l will help you land a good data engineering job

𝐈𝐟 𝐲𝐨𝐮 want to move into 𝐃𝐚𝐭𝐚 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫 𝐫𝐨𝐥𝐞 𝐭𝐡𝐞𝐧 𝐲𝐞𝐬, 𝐲𝐨𝐮 𝐚𝐫𝐞 𝐥𝐚𝐧𝐝𝐞𝐝 𝐨𝐧 𝐫𝐢𝐠𝐡𝐭 𝐩𝐨𝐬𝐭 😊

𝐇𝐞𝐫𝐞 𝐚𝐫𝐞 𝐬𝐨𝐦𝐞 𝐭𝐢𝐩𝐬 𝐭𝐨 𝐡𝐞𝐥𝐩 𝐲𝐨𝐮 𝐚𝐜𝐞 𝐭𝐡𝐞 𝐢𝐧𝐭𝐞𝐫𝐯𝐢𝐞𝐰:

📌 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 standard algorithms associated with them. You can refer to #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 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.

📌 𝐅𝐨𝐜𝐮𝐬 𝐨𝐧 𝐒𝐩𝐚𝐫𝐤 & 𝐇𝐚𝐝𝐨𝐨𝐩 𝐂𝐨𝐧𝐜𝐞𝐩𝐭𝐬: 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.

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

📌 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.

You can connect with me for Long long-term mentorship program & l will help you land a good data engineering job

If you want to crack top product-based companies you can refer to 𝐂𝐨𝐧𝐧𝐞𝐜𝐭 𝐰𝐢𝐭𝐡 𝐦𝐞 𝐟𝐨𝐫 𝐋𝐨𝐧𝐠 𝐓𝐞𝐫𝐦 𝐌𝐞𝐧𝐭𝐨𝐫𝐬𝐡𝐢𝐩 𝐃𝐚𝐭𝐚 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐢𝐧𝐠 𝐌𝐞𝐧𝐭𝐨𝐫𝐬𝐡𝐢𝐩 𝐏𝐫𝐨𝐠𝐫𝐚𝐦 https://app.preplaced.in/profile/nishchay-agrawal-84