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

84 Bamboo Jobs

Data Engineer-Data Platforms-AWS

IBM India Pvt. Limited

4.0

based on 22.1k Reviews

6-10 years

₹ 11.75 - 21L/yr (AmbitionBox estimate)

Pune

Data Engineer-Data Platforms-AWS

IBM

posted 17hr ago

Job Role Insights

Key skills for the job

Digital Marketing DevOps Python SQL Java Linux Administration

+ 18 more

Job Description

Design, implement, and manage large-scale data processing systems using Big Data Technologies such as Hadoop, Apache Spark, and Hive.
Develop and manage our database infrastructure based on Relational Database Management Systems (RDBMS), with strong expertise in SQL.
Utilize scheduling tools like Airflow, Control M, or shell scripting to automate data pipelines and workflows.
Write efficient code in Python and/or Scala for data manipulation and processing tasks.
Leverage AWS services including S3, Redshift, and EMR to create scalable, cost-effective data storage and processing solutions

Required education

Bachelor's Degree

Preferred education

Master's Degree

Required technical and professional expertise

Proficiency in Big Data Technologies, including Hadoop, Apache Spark, and Hive.
Strong understanding of AWS services, particularly S3, Redshift, and EMR.
Deep expertise in RDBMS and SQL, with a proven track record in database management and query optimization.
Experience using scheduling tools such as Airflow, Control M, or shell scripting.
Practical experience in Python and/or Scala programming languages

Preferred technical and professional experience

Knowledge of Core Java (1.8 preferred) is highly desired Excellent communication skills and a willing attitude towards learning.
Solid experience in Linux and shell scripting. Experience with PySpark or Spark is nice to have Familiarity with DevOps tools including Bamboo, JIRA, Git, Confluence, and Bitbucket is nice to have
Experience in data modelling, data quality assurance, and load assurance is a nice-to-have.

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.