1. Application Screening
What happens: Your resume is reviewed by recruiters or automated systems (ATS).
Tip: Tailor your resume with keywords from the job description.
📌 2. Online Assessment / Aptitude Round
Format: MCQs or coding questions (via platforms like HackerRank, Codility, etc.).
Topics:
SQL queries
Python logic (data structures, file handling)
Basic data modeling
Logical reasoning / aptitude
📌 3. Technical Interview (1–2 Rounds)
Focus:
Core SQL and Python
Data pipeline concepts
Database design (e.g., normalization, indexing)
ETL/ELT concepts
Cloud basics (GCP, AWS optional for freshers)
Example Question: "Design a simple data pipeline to clean and store sales data."
📌 4. System Design (Optional for Freshers)
If included: Simplified scenario-based question like designing a mini data warehouse or streaming pipeline.
Expected: Logical thinking, table design, SCD types, data flow discussion.
📌 5. HR/Behavioral Interview
Topics:
Tell me about yourself.
Why data engineering?
Teamwork, problem-solving, and learning experiences.
Tip: Use the STAR method (Situation, Task, Action, Result) for structured answers.
📌 6. Final Round / Managerial Discussion (Optional)
Discussion: Work attitude, career goals, and potential growth.
Could include: Light technical questions + project or internship discussion.
