1. Application & Screening Resume is reviewed by HR / ATS (Applicant Tracking System). If skills match, a recruiter reaches out for initial screening. 2. HR / Recruiter Screening Call (30–45 min) They check your background, skills, work authorization, and relocation preferences. May ask about current projects, notice period, expected compensation. 3. Technical Round 1 – Coding / Online Assessment Python coding challenges on platforms like HackerRank/CoderPad. Focus: Data structures, algorithms, SQL queries, and debugging. ETL / PySpark / Snowflake tasks for data engineer roles. 4. Technical Round 2 – Deep Technical Interview Conducted via Zoom/Teams with a senior engineer. Questions on: Python (OOP, libraries: pandas, numpy, etc.) Databases & SQL (joins, indexing, optimization) Data Engineering (ETL, Spark, pipelines, orchestration like Airflow/ADF) Cloud Platforms (AWS/GCP/Azure) Machine Learning (basic algorithms, model deployment, MLflow, etc.) (for data science roles) System Design: Building scalable pipelines, handling big data, fault tolerance. 5. Managerial / Project Round Evaluates problem-solving, communication, and leadership. May ask about past projects, business impact, handling on-call issues, collaboration with cross-functional teams. 6. HR / Final Discussion Discussion on salary, benefits, location, relocation, work authorization. Clarifies next steps & project assignment. 7. Offer & Background Check If selected, you receive an offer letter. Background verification includes education, employment history, and sometimes technical checks.