Aggregated from 3 candidate experiences for ALL.
OA Format: OAs are frequently administered via platforms like HackerRank, typically lasting 60-90 minutes. They often include a mix of coding problems, cognitive reasoning, and domain-specific knowledge (e.g., Spark, REST APIs).
Round Breakdown: The process is heavy on design and systems. Expect LLD (Low-Level Design) sessions focusing on object-oriented design patterns and concurrency, as well as HLD (High-Level Design) sessions for large-scale system architecture. Coding rounds range from medium to hard difficulty.
Key Questions:
Candidates for Data Science and ML roles should be prepared for a broad evaluation process that often encompasses Data Engineering fundamentals alongside core ML concepts. The process typically includes a mix of coding assessments and project-based technical discussions across various major tech companies.
The candidate shared their interview experiences for Data Engineering roles at various companies, including Google, Microsoft, Uber, Flipkart, and more, with some resulting in offers and others in rejections.
The candidate, a backend engineer with 7 years of experience, participated in multiple interview processes across various companies. They faced challenges with coding and design rounds, resulting in multiple rejections before eventually securing a position.
Various companies used platforms like HackerRank for OAs, typically lasting 1 to 1.5 hours with a mix of coding problems, cognitive reasoning, and domain-specific questions.
Spotnana OA with 2 questions.
WiseTech assessment consisting of a coding round (3 questions) and a cognitive/behavioral assessment.
Cisco first round covering resume and a coding problem.
Can Place Flowers
Cisco second round focusing on system architecture and design decisions.
Loop AI technical round involving a coding problem requiring optimization.
Moveworks two-round coding process involving hard and medium difficulty problems.
Kotak 2-hour LLD round.
Motive hiring manager round discussing resume projects and a simple LLD.
Motive coding rounds involving binary search and mixed difficulty problems.
Apna LLD round focusing on order management and supply chain systems.
Design order management and supply chain system
Twilio OA covering Spark, coding, and REST API.
Wayfair OA with 2 questions.
Aspire OA with MCQ format.
Arista technical round covering coding and language-specific questions.
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