From earning 10 LPA as SDE to 50LPA as Data Engineer | She switched from Software Engineer to Data

TL;DR

Isha shares her journey from software engineering to data engineering, highlighting skills gained and interview challenges.

Transcript

Would you advice software engineers to become data engineers? You guys, I mean.... Any regrets of transitioning from SDE to data. Honestly speaking, I've no regrets as such. But I want to know that as an SDE, which project did you work on? As a fresher, wherever there were gaps, they used to fill me in. Were you having fun in working? I was having ... Read More

Key Insights

• 💗 The importance of data is growing rapidly, making data engineering a viable and lucrative career path.
• ⌛ Transitioning from software engineering to data engineering can take time and requires proactive skill development and certification efforts.
• 😃 Acquiring skills in Azure, SQL, and big data technologies is crucial for success in data engineering roles.
• 🖐️ DSA skills play a significant role in the hiring process for data engineering positions and should not be overlooked.
• 🤩 Personal motivation and resilience are key to navigating job rejections and maintaining a positive outlook during the job search.
• 💯 Online courses and structured learning can help channel and enhance knowledge in core competencies needed for data engineering.
• 🎨 System design knowledge, particularly related to data pipelines, is a critical expectation in data engineering interviews.

Questions & Answers

Q: What motivated Isha to transition from a software engineer to a data engineer?

Isha was motivated by the increasing relevance and demand for data skills in the industry and the potential for higher salary packages in data engineering roles. Her interest in big data, sparked during her college electives, played a significant role in her decision.

Q: How did Isha prepare for her transition into data engineering?

Isha prepared by acquiring relevant certifications, such as those needed for Azure, alongside her SDE work. She dedicated extra time to learn big data technologies, SQL, and tools like Power BI, and made sure to engage with her colleagues to understand more about data engineering.

Q: What were some skills Isha developed during her time as a software engineer?

While working as a software engineer, Isha developed a variety of skills, including Java, Angular development, SQL, and experience with dashboards. These skills provided a foundation that she later built upon when transitioning into a data role.

Q: What challenges did she face while preparing for data engineering interviews?

Isha faced challenges such as the need to master data structures and algorithms (DSA), which were often filtering criteria in interviews. She also struggled with motivation after receiving multiple rejections, but remained persistent by focusing on continuous learning and improvement in relevant skills.

Q: How significant was the salary hike after transitioning to a data engineering role?

After transitioning to a data engineering role, Isha experienced a substantial salary increase, moving from a CTC of around 10 to 18, highlighting the financial benefits of shifting into data-centric jobs.

Q: What key certifications did Isha pursue to enhance her qualifications?

Isha pursued several Azure certifications, specifically focusing on Azure fundamentals and the DP 200 & 201 certifications tailored for data engineering, which helped bolster her credibility in the data engineering field.

Q: Can you summarize the key interview topics for aspiring data engineers that Isha mentioned?

Key interview topics include data structures and algorithms (DSA), SQL questions that range from basic to advanced, big data concepts like Spark and its optimization techniques, real-time streaming (e.g., Kafka), and system design focusing on building data-intensive applications.

Q: How did the COVID-19 pandemic affect Isha's preparation journey?

During the pandemic, Isha had the opportunity to work from home, which allowed her to manage her time effectively. She structured her study sessions around her work hours, dedicating specific times for big data learning and DSA practice, which ultimately aided her preparation for interviews.

Summary & Key Takeaways

• Isha transitioned from a software engineer to a data engineer, motivated by the growing importance of data and better salary prospects in the field. She emphasized the power of data and its applications in various industries.

• Her journey involved acquiring multiple Azure-related certifications and skills in big data technologies like SQL and PySpark, which took her about 1.5 years while balancing her SDE role and studying simultaneously.

• Isha faced numerous challenges during her job transition, including rejections and the need to improve her skills in DSA and system design, ultimately leading to multiple job offers in data engineering roles.