Big Data Technical Interview Specialist (Spark/Scala, Hadoop, Hive)

I’m assembling a short-term roster of interviewers who can rigorously assess candidates for senior-level Big Data roles, with a sharp focus on Apache Spark. Your job is to join my panel, run live technical interviews (remote video), probe deep into real-world Spark architecture, coding, optimisation and troubleshooting, then deliver a concise written evaluation of each candidate’s strengths, gaps and hire/no-hire recommendation.

I will supply the role description and résumé ahead of time; you bring the questions, white-boarding scenarios or live-coding prompts you rely on in your own Spark projects. Familiarity with the wider ecosystem—Scala or PySpark APIs, performance tuning, cluster resource management, integration with Kafka or Hadoop—is welcomed, but Spark mastery is non-negotiable.

Please tell me about your interviewing experience: how many engineers you’ve screened, the Spark workloads you’ve led in production, and any frameworks or scoring rubrics you already use. No formal proposal deck needed; I care most about a proven track record and your availability over the next four weeks.

Deliverables (per candidate)
• 45-60 minute live technical interview
• Completed scorecard covering problem-solving, code quality, system design and communication
• One-page summary with clear hire/no-hire decision

I’ll schedule interviews on a rolling basis and pay promptly upon receipt of each report.