StockX | Senior Data Engineer | Bangalore | November 2023 [Offer]

I recently completed the interview process for a Senior Data Engineer position at StockX in Bangalore, with approximately 4 years of experience. The entire process was incredibly efficient, concluding in just two weeks from the initial screening to receiving the offer. I was really impressed by the StockX team's quick turnaround.

The process began with an initial screening via Zoom. First, I had a 30-45 minute call with HR where they detailed the role. I was asked to openly discuss my proficiency with each technology listed in the job requirements. This was followed by a 30-45 minute tech team fitment round with a Data Engineering Team Manager. This round focused on the data engineering tech stack I had highlighted in my resume, covering topics like Spark, Hadoop, MapReduce, Hive, SQL, Spark Streaming, and SCDs. A key question here was about data pipeline requirement gathering – specifically, what questions we, as data engineers, need to ask when handed a use case for a new data pipeline. HR shared the positive outcome of this round the very next day, moving me to the virtual onsite interviews.

The virtual onsite interviews, also conducted via Zoom, consisted of several rounds. Tech Round 1, lasting 60-75 minutes with a Senior Data Engineer, delved into my data pipeline projects. I had to provide end-to-end explanations and justify my chosen approaches. We also discussed potential issues and resolutions in Spark Streaming, Spark optimizations, and scenario-based pipeline design. A notable question involved designing for a use case as a batch requirement and then outlining the necessary changes for a streaming data requirement. Tech Round 2, a 30-45 minute session with another Senior Data Engineer, covered SCDs, data modeling, and included some LeetCode Easy-Medium DSA questions related to arrays and strings, along with two SQL questions. Following this, I had a 45-minute Stakeholder Management Round with a Product Owner, which focused on behavioral questions. I shared past experiences demonstrating leadership, team spirit, conflict resolution, and collaboration, and discussed effective communication strategies with product teams and business stakeholders. The final technical assessment was an Overall Tech Fitment Round with the Data Engineering Senior Director, where we revisited SCDs, Spark Streaming, Spark optimizations, and more behavioral questions.

Finally, I had confirmation calls with HR and the DE Team Manager, each lasting 30 minutes. Both calls aimed to ensure my commitment to the offer. I provided examples from my past where I demonstrated loyalty to employers. I'm pleased to share that an offer was extended, which I accepted, and I have since joined the company.