Home
Communities
Companies
- Companies
  
  Discover best places to work
- Compare Companies
  
  Compare & find best workplace
- Add Office Photos
  
  Bring your workplace to life
- Add Company Benefits
  
  Highlight your company's perks
Reviews
- Company reviews
  
  Read reviews for 7L+ companies
- Write a review
  
  Rate your former or current company
Salaries
- Browse salaries
  
  Discover salaries for 8L+ companies
- Salary calculator
  
  Calculate your take home salary
- Are you paid fairly?
  
  Check your market value
- Share your salary
  
  Help other jobseekers
- Gratuity calculator
  
  Check your gratuity amount
- HRA calculator
  
  Check how much of your HRA is tax-free
- Salary hike calculator
  
  Check your salary hike
Interviews
- Company interviews
  
  Read interviews for 1L+ companies
- Campus placements
  
  Interviews questions for 2K+ colleges
- Share interview questions
  
  Contribute your interview questions
Jobs
Awards

WINNERS AWAITED!
- ABECA 2025
  
  WINNERS AWAITED!
  
  AmbitionBox Employee Choice Awards - 4th Edition
- ABECA 2024
  
  AmbitionBox Employee Choice Awards - 3rd Edition
- AmbitionBox Best Places to Work 2022
  
  2nd Edition
- AmbitionBox Best Places to Work 2021
  
  1st Edition

10 Data Flow Jobs in Gurgaon / Gurugram

Data Engineer-Data Platforms-Google

IBM India Pvt. Limited

4.0

based on 22.1k Reviews

7-12 years

Gurgaon / Gurugram

Data Engineer-Data Platforms-Google

IBM

posted 5d ago

Job Role Insights

Key skills for the job

Python AWS SQL Artificial Intelligence Machine Learning Java

+ 17 more

Job Description

Skilled Multiple GCP services - GCS, BigQuery, Cloud SQL, Dataflow, Pub/Sub, Cloud Run, Workflow, Composer, Error reporting, Log explorer etc.

Must have Python and SQL work experience & Proactive, collaborative and ability to respond to critical situation

Ability to analyse data for functional business requirements & front face customer

Required education
Bachelor's Degree

Preferred education
Master's Degree

Required technical and professional expertise

5 to 7 years of relevant experience working as technical analyst with Big Query on GCP platform.

Skilled in multiple GCP services - GCS, Cloud SQL, Dataflow, Pub/Sub, Cloud Run, Workflow, Composer, Error reporting, Log explorer

You love collaborative environments that use agile methodologies to encourage creative design thinking and find innovative ways to develop with cutting edge technologies

Ambitious individual who can work under their own direction towards agreed targets/goals and with creative approach to work

Preferred technical and professional experience

Create up to 3 bullets MA Intuitive individual with an ability to manage change and proven time management

Proven interpersonal skills while contributing to team effort by accomplishing related results as needed

Up-to-date technical knowledge by attending educational workshops, reviewing publications (encouraging then to focus on required skills

Employment Type: Full Time, Permanent

Read full job description

IBM Interview Questions & Tips

Prepare for IBM Data Engineer roles with real interview advice

What people at IBM are saying

4.2

Rating based on 208 Data Engineer reviews

Anonymous · Engineering - Software & QA

Likes

1. Work-Pertional life balance. 2. Your work recognition. 3. Appreciation of your work. 4. Job security. 5. Opportunity to learn and grow yourself in multiple technology and tools.

Salary - Good

+6 more

Dislikes

1. All the mentioned benefits are depending on project basis, its not a universal.

Read 208 Data Engineer reviews

Data Engineer salary at IBM

reported by 2.8k employees

Unlock

₹6 L/yr - ₹25.1 L/yr

32% more than the average Data Engineer Salary in India

View more details

Compare IBM with

Oracle

3.7

Compare

TCS

3.7

Compare

Cognizant

3.7

Compare

Accenture

3.8

Compare

Infosys

3.6

Compare

Capgemini

3.7

Compare

Wipro

3.7

Compare

Deloitte

3.8

Compare

Google

4.4

Compare

Amazon

4.1

Compare

Amdocs

3.7

Compare

SAP

4.2

Compare

Microsoft Corporation

4.0

Compare

Tech Mahindra

3.5

Compare

PwC

3.4

Compare

Ernst & Young

3.4

Compare

Nagarro

4.0

Compare

NetApp

3.9

Compare

Salesforce

4.0

Compare

SAS

4.4

Compare