Tesla

Role: Unspecified (Data Engineering/Analysis focus)

College: Not Specified

Interview Date: 2024-05-14

Interview Type: Full-Time

Result: Not Specified

Difficulty: Not Specified

Rounds: 4 rounds

Topics Asked: Role alignment, Technical skills (SQL, Python, Spark), Data Modeling, Architecture, Behavioral, Airflow, Data Structures, Algorithms

Experience:

This interview experience for Tesla consisted of four rounds.

Round 1: Focused on aligning the candidate's skills and experience with the role and team at Tesla. It involved an in-depth discussion about the position, how past experiences relate to it, and potential contributions. Career goals, current projects, and Tesla's values were also discussed.

Round 2: A technical session conducted via a live video call with an interviewer, utilizing shared Google Sheets for collaborative problem-solving. The candidate tackled questions on SQL, Python, and some basic Spark queries, aiming for optimized solutions.

Round 3: Another technical session on shared Google Sheets with a parallel video call. This round emphasized data modeling and building architectures, with questions generated spontaneously. The candidate was tasked with creating a data model for a new business initiative and responding to business queries related to it.

Round 4: This round was with the hiring manager, testing both behavioral and technical skills. It included basics of Airflow and Data Structure and Algorithm (DSA) problems. Discussions covered team structure, ongoing projects, current challenges, and the candidate's potential role and team expectations.