Don’t expect to work on cutting-edge data engineering problems. The role largely focuses on analytics and ETL tasks due to Meta’s highly developed infrastructure. Data Engineers are often seen more as support staff for analytics than core engineers.
Following the layoffs, Data Engineers are required to support multiple cross-functional teams at once. With no clearly defined niche, concerns about workload and bandwidth are frequently ignored.
Team placement matters. Be cautious when choosing a manager—those with limited experience may struggle with the demands of the role, leading to disorganization while maintaining a façade of effectiveness.
Technical coding assessment consisting of 10 questions within 60 minutes (5 SQL and 5 Python). Systems design question. Behavioral interview. Data modeling question focusing on star schema and complex product questions.
HR call, then LeetCode questions. These included a mix of SQL and Python, covering data structures and algorithms. I had to answer 5 out of 10 questions within 50 minutes to pass.
The first round consisted of five SQL and five Python questions, to be completed in 25 minutes. This was followed by a recruiter screen. There was a full loop round planned, but I did not make it to that stage. It was pretty difficult, and they did
Technical coding assessment consisting of 10 questions within 60 minutes (5 SQL and 5 Python). Systems design question. Behavioral interview. Data modeling question focusing on star schema and complex product questions.
HR call, then LeetCode questions. These included a mix of SQL and Python, covering data structures and algorithms. I had to answer 5 out of 10 questions within 50 minutes to pass.
The first round consisted of five SQL and five Python questions, to be completed in 25 minutes. This was followed by a recruiter screen. There was a full loop round planned, but I did not make it to that stage. It was pretty difficult, and they did