NTT DATA Off Campus Drive 2025 hiring Data Engineer Job, Bangalore

Apply for NTT DATA Off Campus Drive 2025! Hiring Data Engineer Job in Bangalore for BE/BTech. Seeking an experienced professional proficient in Python, SQL, Spark, Databricks, and cloud platforms like Azure and GCP. Apply now to design and manage robust data pipelines with a global IT leader

Candidates who are interested in NTT DATA Off Campus Drive Job Openings can go through the below to get more information.

Key Job details of Data Engineer jobs

Company: NTT DATA

Qualifications: BE/BTech

Experience Needed: 4-8 Years

Job Req ID: 330827

Location: Bangalore

Selenium Automation Training

Start Date: 28th July 2025

Click here to Join on WhatsApp:- https://bit.ly/39gGfwZ

Click here to Join on Telegram:- https://telegram.me/qaidea

Job Description

We are currently seeking a Data Engineer to join our team in Bengaluru, Karnātaka (IN-KA), India (IN).
Sr Developer – Data Engineering
Proficiency in SQL and Python
Experience with ETL tools
Knowledge of cloud platforms (e.g., AWS, Azure, Google Cloud)
Understanding of data warehousing concepts
Understanding of big data technologies (e.g., Spark, BigQuery)
Knowlege of GCP ecosystem tooling tools. General understanding of running ELT/ETL jobs.
BigQuery ETL/ELT using GoogleSQL/Python.
DataFlow pipelines.
Airflow Orchestration.

Mandatory Skills:

Data Engineer, Data Bricks, Spark, Python, SQL, Azure/GCP

Apply Now for NTT DATA Data Engineer Jobs

How to Apply NTT DATA Off Campus Drive 2025

Click on Apply to Official Link NTT DATA Above – You will go to the Company Official site
First of all Check, Experience Needed, Description and Skills Required Carefully.
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Interview Questions

Data Engineering

  • Explain partitioning strategies in Spark and their impact on performance.
  • How would you handle late-arriving data in an ETL pipeline on GCP?
  • What are the differences between ETL and ELT, and when would you prefer one over the other?
  • How do you optimize BigQuery queries for cost and performance?
  • Can you explain Airflow DAG retries and trigger rules?

Python/SQL

  • Write a Python function to flatten a nested JSON for ingestion into BigQuery.
  • How would you handle schema evolution in a data lake?
  • Explain window functions in SQL with examples relevant to ETL.

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