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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
1
Open roles tracked
0
Posted last 7 days
1
Posted last 30 days
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What employees say
+ Very good environment, good scope to learn new technologies
− No work life balance, toxic culture, too much favouritism
Recent Glassdoor reviews · 149 total
Pros: Very good environment, good scope to learn new technologies
Cons: As of now no cons
View on GlassdoorPros: lot to laern, challenging times
Cons: No work life balance, toxic culture, too much favouritism
View on GlassdoorPros: Lesser salary compare to other startups.
Cons: Internal hikes were good though.
View on GlassdoorPros: 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 GlassdoorPros: Great people and culture to work.
Cons: Quality of work depends on team.
View on GlassdoorCompany review data sourced from Glassdoor.
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.
India-scoped Glassdoor interview reports · 20 total · avg difficulty 2.9/5 · 21 questions indexed
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
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
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
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
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
Top hiring roles: Engineering
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