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

Employer? Claim Account for FREE

Wadhwani Foundation

Compare

3.4

based on 54 Reviews

78 Wadhwani Foundation Jobs

Data Engineer - WGDT

National Entrepreneurship Network

3.4

based on 54 Reviews

4-5 years

New Delhi

1 vacancy

Data Engineer - WGDT

Wadhwani Foundation

posted 1mon ago

Job Role Insights

Flexible timing

Key skills for the job

Data Analysis SQL Cloud Computing MySQL CCTV Monitoring Data Governance

+ 4 more

Job Description

Data Pipeline Development: Design, build, and optimize data pipelines to extract, transform, and load (ETL) data from different sources, such as databases, APIs, and streaming platforms. Ensure data pipelines are reliable, scalable, and performant.
Data Modeling: Design and implement data models that facilitate efficient storage and retrieval of data. Ensure data integrity and consistency across databases and data systems.
Data Warehousing: Set up and maintain data warehousing solutions to provide a centralized repository of structured and unstructured data for analytics and reporting purposes.
Data Quality and Governance: Implement data quality checks and data governance processes to ensure data accuracy, completeness, and compliance with relevant regulations.
Database Management: Administer and optimize databases, both relational and NoSQL, to manage large volumes of data effectively.
Data Security: Implement security measures to protect sensitive data and ensure compliance with data privacy regulations.
Data Integration: Integrate data from various sources and systems to create a unified view of the Ministrys data landscape.
Data Migration: Plan and execute data migration projects to transfer data between systems while ensuring data consistency and minimal downtime.
Collaboration: Collaborate with cross-functional teams and other stakeholders, to understand data requirements and deliver appropriate data solutions.
Documentation: Maintain comprehensive documentation of data pipelines, data models, and data-related processes for reference and knowledge sharing.