Cracked 6 Offers as Data Engineer|Job, Interview process, tips to crack| Prem Shankar |Podcast Ep1

Welcome to Episode 1 of the Data Engineering Podcast Series on Shilpa Data Insights — where we talk to data engineers who have successfully cracked top MNC offers and learn exactly how they prepared, what strategies worked, and what advice they have for aspiring data engineers. In this first episode, Prem Shankar, now a Data Engineer at Deloitte USI, shares his journey of cracking 6 MNC offers including Deloitte, PwC, Cognizant, and Publicis Sapient. He discusses: How to prepare for PySpark, SQL, and Python interview questions Important Azure and AWS tools for data engineers — Databricks, Data Factory, Redshift, EMR, S3 Handling a 3-month notice period and navigating walk-in drives Tips for negotiating salary offers and choosing the right company The importance of consistency, problem-solving practice, and networking 👉 Key Topics Covered: PySpark Interview Prep, SQL Window Functions, Python for Data Engineering, Azure Data Factory, Databricks, AWS Redshift, Resume Optimization, Walk-in Drive Strategy, Notice Period Handling, Salary Negotiation Tips, Data Engineering Career Growth 🎧 Listen till the end for Prem’s 3 top tips to stay consistent, build problem-solving skills, and grow your career as a data engineer. 📺 Subscribe to Shilpa Data Insights for upcoming episodes with more data engineers sharing their interview prep journeys, real projects, and success strategies. Link to Spark playlist:    • Spark Basic to Advance   Link to Databricks playlist:    • Databricks   Link to Databricks certification :    • Databricks Certifications   Link to Big data:    • Big Data   Link to Interview series for Pyspark:    • Pyspark Interview Series   Need Help ? Connect With me 1:1 : https://topmate.io/shilpa_das10 👉 𝗝𝗼𝗶𝗻 𝗚𝗿𝗼𝘂𝗽 𝗛𝗲𝗿𝗲 𝘁𝗼 𝗚𝗲𝘁 𝗦𝘂𝗰𝗵 𝗠𝗼𝗿𝗲 𝗥𝗲𝘀𝗼𝘂𝗿𝗰𝗲𝘀 : https://whatsapp.com/channel/0029Vb5j...