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

Add office photos

Engaged Employer

Oracle

Compare

3.7

based on 5.2k Reviews

Video summary

1 Oracle Data Engineer Job

Data Engineer - Flexcube

Oracle India Pvt. Ltd.

3.7

based on 5.2k Reviews

6-10 years

₹ 12 - 48L/yr (AmbitionBox estimate)

Bangalore / Bengaluru

1 vacancy

Data Engineer - Flexcube

Oracle

posted 3d ago

Job Role Insights

Flexible timing

Key skills for the job

Computer Science Data Analytics Python Information Technology Clinical Data Management Backend

+ 3 more

Job Description

We are seeking a skilled Data Engineer with a strong background in data engineering, Python, SQL, and experience in the Hadoop ecosystem (HDFS). The ideal candidate will have a proven track record of working on core banking projects and leveraging big data technologies to support data processing and analytics.

Key Responsibilities:

Data Management:
- Design, implement, and maintain data pipelines in the Hadoop ecosystem.
- Manage and optimize data storage solutions using HDFS.
Data Processing:
- Develop scalable ETL processes to extract, transform, and load data from diverse sources.
- Ensure data accuracy, quality, and consistency across systems.
Programming and Scripting:
- Write efficient and reusable code using Python for data transformation and analysis.
- Create and optimize SQL queries for data extraction and reporting.
Banking Domain Expertise:
- Work on data migration, integration, and reporting for core banking applications.
- Understand and address domain-specific data challenges.
Collaboration and Support:
- Collaborate with cross-functional teams, including business analysts and application developers, to understand data requirements.
- Provide technical support for data-related issues in ongoing projects.

Required Skills and Qualifications:

Education: Bachelor s degree in Computer Science, Information Technology, or a related field.
Experience: Minimum of 6 years in data engineering, with exposure to core banking projects.
Technical Skills:
- Proficiency in HDFS for data storage and retrieval.
- Strong programming skills in Python for data manipulation and analysis.
- Expertise in SQL for database querying and reporting.
- Familiarity with big data tools such as Apache Hive, Sqoop, or Spark.
Banking Domain Knowledge:
- Hands-on experience in core banking systems; experience in FLEXCUBE projects is a plus.
Soft Skills:
- Strong problem-solving abilities.
- Excellent communication and collaboration skills.
- Ability to work in a fast-paced and dynamic environment.

Preferred Qualifications:

Experience in Hadoop ecosystem components like Apache Pig, Spark, or Flume.
Knowledge of FLEXCUBE data models and integration.
Exposure to modern data engineering tools and practices in the cloud environment.

Location: Bengaluru, Chennai, Pune, Mumbai
Type: Full-time

Career Level - IC2

Key Responsibilities:

Data Management:
- Design, implement, and maintain data pipelines in the Hadoop ecosystem.
- Manage and optimize data storage solutions using HDFS.
Data Processing:
- Develop scalable ETL processes to extract, transform, and load data from diverse sources.
- Ensure data accuracy, quality, and consistency across systems.
Programming and Scripting:
- Write efficient and reusable code using Python for data transformation and analysis.
- Create and optimize SQL queries for data extraction and reporting.
Banking Domain Expertise:
- Work on data migration, integration, and reporting for core banking applications.
- Understand and address domain-specific data challenges.
Collaboration and Support:
- Collaborate with cross-functional teams, including business analysts and application developers, to understand data requirements.
- Provide technical support for data-related issues in ongoing projects.