Data Engineer· Bangalore RuralFormer employee4.0/5
Great environment with learning opportunities
Pros: Very good environment, good scope to learn new technologies
Cons: As of now no cons
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DataWeave
Enterprise Software & Network Solutions · 201 to 500 Employees · Singapore, Singapore
Powered by AI, DataWeave provides Competitive Intelligence as a Service to retailers and consumer brands, in near-real-time, by aggregating and analyzing large volumes of data from the Web. We work in two broad solution areas – Retail Intelligence and Brand Analytics. Retailers use DataWeave’s Retail Intelligence to optimize their pricing, promotions, and product assortment strategies to drive profitable growth. DataWeave enables them to identify and act on price improvement opportunities, achieve their desired competitive price position across categories, plug high-demand gaps in their product assortment, and track the promotional activities of their competitors. Consumer brands use DataWeave’s Brand Analytics to protect their brand equity online, and optimize the experience delivered to shoppers on eCommerce websites. Popular use cases include minimum advertised price (MAP) monitoring, tracking and optimizing the share of voice (SOV) of online promotions, enhancing the discoverability of products, unearthing customer sentiments from online reviews, and other areas of revenue optimization.
Office locations
Bengaluru, India
1
Open roles tracked
0
Posted last 7 days
1
Posted last 30 days
Jobs at DataWeave ranked for your profile
Open roles at this company sorted by AI match score — skills, experience, and company fit when you are signed in. Guests browse the same roles on the public job board.
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Culture signals
- Work-life balance 3.3
- Compensation 3.4
- Culture 3.8
What employees say
+ Very good environment, good scope to learn new technologies
− No work life balance, toxic culture, too much favouritism
Employee voices
Recent Glassdoor reviews · 149 total
Customer Success Manager· BengaluruCurrent employee3.0/5
Challenging work lacks balance and has toxic culture
Pros: lot to laern, challenging times
Cons: No work life balance, toxic culture, too much favouritism
View on GlassdoorData Engineer· BengaluruFormer employee3.0/5
Salary range
Pros: Lesser salary compare to other startups.
Cons: Internal hikes were good though.
View on GlassdoorSenior Data Engineer· BengaluruFormer employee3.0/5
No scope for Data Engineer role
Pros: hybrid flexible work hours friendly colleagues, no hierarchy good work environment
Cons: overtime is glorified instead of creating better work life balance data engineer does a delivery engineer role and not actual data engineering policies about variable pay management is over prioritizing platform cost that results in being okay with substandard tools and systems
View on GlassdoorData Engineer· Bangalore RuralCurrent employee5.0/5
Good
Pros: Great people and culture to work.
Cons: Quality of work depends on team.
View on GlassdoorCompany review data sourced from Glassdoor.
Compensation benchmarks
Glassdoor salary estimates for top hiring roles · 175 salary reports on Glassdoor
| Role | Location | Median | Range (LPA) | Reports |
|---|---|---|---|---|
| Engineering Manager | India | 54.8 LPA | 50.8 LPA – 58.8 LPA | 1 |
Salary benchmarks are estimates from Glassdoor and may differ from individual job listings.
Interview questions at DataWeave
20 questions indexed · 6 role tracks
Software Engineer (9)General (4)SDE Intern (3)Data Scientist (2)Machine Learning Engineer (1)QA Engineer (1)
- About resume and a real life case study to solve with sql
- write a palindrome, anagram program , explain the time and space complexity
- Basic python and sql questions
- What is your 30 days|60 days| and 90 days plan if you take this job position?
Sign in to browse all 20 questions with answer outlines, filters, and Copilot prep plans.
Questions reported by interview candidates on Glassdoor; edited for clarity. Not guaranteed to match your exact interview.
Interview experiences
India-scoped Glassdoor interview reports · 20 total · avg difficulty 2.9/5 · 21 questions indexed
Fresher Software Engineer· CoimbatoreAverageno offer
Online mcqs (easy) Then u have interview level 1 ( python n sql ) Then u have level 2 (deep insights of technical round) And level 3 by phone call (hr)
Sample questions
- About resume and a real life case study to solve with sql
Intern· Bangalore RuralAverageno offer
The interview process involved an initial screening of my application, followed by a technical assessment to test my skills. Then I attended a face-to-face interview where I was asked about my projects, problem-solving abilities, communication skills, and career goals. The panel also evaluated my confidence, teamwork, and willingness to learn.
Sample questions
- About python coding and testing
Data Engineer· BengaluruAverageno offer
First round was MCQ, it had questions completely related to Python and SQL. It had very basic questions, more of understanding level questions. Next was the coding round, shortlisted students were called and asked to solve one coding problem each. Next was managerial Round and las was HR round.
Sample questions
- Python basics, libraries, sql basic joins, retrieval queries.
Machine Learning Engineer· IndiaAverageno offer
Terrible interview experience. Even after successfully qualifying all 3-4 interviews(including long assignment), they won't give offer by making excuse of experience. Process took over 2-3 weeks. Waste of Time, energy and efforts = DataWeave
Sample questions
- More on NLP based projects
Data Engineer· BengaluruAverageno offer
Appplied through Naukri, got a call from HR. Got shortlisted by tech team. They have 4 rounds, 2 tech and one managerial and other HR round. I had cleared 1st round which was basically a scraping problem plus a planidrome question and easy SQL question using joins round 2 got rejected, anagram , questions on dict, time and space complexity of given problem. problems based on list and dict operations
Sample questions
- write a palindrome, anagram program , explain the time and space complexity
Questions reported by interview candidates on Glassdoor; edited for clarity. Not guaranteed to match your exact interview.
Top hiring roles: Engineering
Open engineering roles
DataWeave hiring FAQ
Last updated 5 October 2026
- Is DataWeave hiring on Feedback AI?
- DataWeave has 1 active open role on Feedback AI today. Roles are listed for Singapore, Singapore and other hubs where posted. Browse open engineering listings on this company profile or sign up free to see AI match scores for each role.
- How many open roles does DataWeave have?
- Feedback AI tracks 1 active DataWeave job listing right now. Counts refresh from live postings — inactive listings are removed from the public board.
- How does Feedback AI match candidates to DataWeave jobs?
- Upload a resume or add skills after free signup. Feedback AI compares your profile to each job description and ranks roles by match score with skill gaps — the same ranking employers see when reviewing applicants.
- What is it like to interview at DataWeave?
- This profile includes 20 Glassdoor-backed interview experiences when enrichment gates pass — process notes, difficulty, and sample questions where available. 20 company-specific practice questions are mapped for interview prep.
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