Technical Interview (1–2 rounds)

Focus on your core skills: SQL, PySpark, ADF, Databricks, ETL concepts.

Problem-solving: writing queries, designing pipelines.

Scenario-based questions: incremental load, data quality checks, error handling.

Managerial/Project Discussion

Behavioral + technical mix.

They check project experience: “Tell me about a pipeline you built and optimized.”

Client-facing readiness: communication, teamwork, problem-solving approach.

HR Discussion

Salary expectations, notice period, relocation, cultural fit.

From repeated patterns, Accenture loves asking scenario-based ETL/Data Engineering questions:

“How do you design and implement an incremental data pipeline in ADF/Databricks?”

This checks your:

• Hands-on skills (ETL/ELT).
• Understanding of watermarking, CDC (Change Data Capture), partitioning.
• Ability to optimize and handle large data loads.