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 a long process, and it took a long time to have each interview. By the time I got in, it was all worth it. That's it for now.
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 a long process, and it took a long time to have each interview. By the time I got in, it was all worth it. That's it for now.