Good, not bad, but it's good.
Nothing but management and work-life.
SQL & Data Modeling Writing non-trivial SQL queries Designing schemas for analytical workloads Normalization vs denormalization Partitioning, clustering, indexing Coding & Algorithms Implementing basic data transformations using Python or Java Man
The process was structured and professional. It started with a recruiter screening where we discussed my experience, especially around data engineering tools like AWS, Python, and Spark. After that, I had a technical phone interview with real-world
It was pretty laid-back. They wanted to get to know me a bit and explained what to expect next, which helped ease some nerves. The real challenge was the technical phone interview. They had me solve a couple of coding problems live on a shared doc,
SQL & Data Modeling Writing non-trivial SQL queries Designing schemas for analytical workloads Normalization vs denormalization Partitioning, clustering, indexing Coding & Algorithms Implementing basic data transformations using Python or Java Man
The process was structured and professional. It started with a recruiter screening where we discussed my experience, especially around data engineering tools like AWS, Python, and Spark. After that, I had a technical phone interview with real-world
It was pretty laid-back. They wanted to get to know me a bit and explained what to expect next, which helped ease some nerves. The real challenge was the technical phone interview. They had me solve a couple of coding problems live on a shared doc,