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 6L+ companies
- Write a review
  
  Rate your former or current company
Salaries
- Browse salaries
  
  Discover salaries for 6L+ 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 40K+ 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

For Employers

Add office photos

Engaged Employer

IBM

Compare

4.0

based on 22.1k Reviews

Video summary

Proud winner of ABECA 2024 - AmbitionBox Employee Choice Awards

Top Rated Mega Company - 2024

Top Rated Company for Women - 2024

Top Rated IT/ITES Company - 2024

1828 IBM Jobs

Data Engineer-Data Platforms-AWS

IBM India Pvt. Limited

4.0

based on 22.1k Reviews

2-6 years

₹ 4.5 - 28L/yr (AmbitionBox estimate)

Bangalore / Bengaluru

Data Engineer-Data Platforms-AWS

IBM

posted 12hr ago

Job Role Insights

Flexible timing

Key skills for the job

DevOps AWS SQL Clinical Data Management Linux Administration ETL Testing

+ 17 more

Job Description

Design, construct, install, test, and maintain highly scalable data management systems using big data technologies such as Apache Spark (with focus on Spark SQL) and Hive. Manage and optimize our data warehousing solutions, with a strong emphasis on SQL performance tuning. Implement ETL/ELT processes using tools like Talend or custom scripts, ensuring efficient data flow and transformation across our systems.
Utilize AWS services including S3, EC2, and EMR to build and manage scalable, secure, and reliable cloud-based solutions.
Develop and deploy scripts in Linux environments, demonstrating proficiency in shell scripting. Utilize scheduling tools such as Airflow or Control-M to automate data processes and workflows.
Implement and maintain metadata-driven frameworks, promoting reusability, efficiency, and data governance. Collaborate closely with DevOps teams utilizing SDLC tools such as Bamboo, JIRA, Bitbucket, and Confluence to ensure seamless integration of data systems into the software development lifecycle.
Communicate effectively with both technical and non-technical stakeholders, for handover, incident management reporting, etc

Required education

Bachelor's Degree

Preferred education

Master's Degree

Required technical and professional expertise

Demonstrated expertise in Big Data Technologies, specifically Apache Spark (focus on Spark SQL) and Hive.
Extensive experience with AWS services, including S3, EC2, and EMR.
Strong expertise in Data Warehousing and SQL, with experience in performance optimization
Experience with ETL/ELT implementation (such as Talend)
Proficiency in Linux, with a strong background in shell scripting

Preferred technical and professional experience

Familiarity with scheduling tools like Airflow or Control-M.
Experience with metadata-driven frameworks.
Knowledge of DevOps tools such as Bamboo, JIRA, Bitbucket, and Confluence. Excellent communication skills and a willing attitude towards learning

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 207 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.