Good infrastructure and team, but salary concerns
Pros: Good infrastructure, good team members
Cons: Salary issue, stress , overworked
View on Glassdoor
Enterprise Software & Network Solutions · 201 to 500 Employees · Jaipur, India
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Celebal Technologies is a premier software services company in the field of Data Science, Big Data and Enterprise Cloud. Celebal Technologies helps you to discover the competitive advantage by employing intelligent data solutions using cutting-edge technology solutions that can bring massive value to your organization. The core offerings are around "Data to Intelligence", wherein we leverage data to extract intelligence and patterns thereby facilitating smarter and quicker decision making for clients. Celebal Technologies solutions are powered by Robotics, Artificial Intelligence and Machine Learning algorithms which offer improved business efficiency in the interconnected world. Companies clients are Product ISVs and delivery organisations across the globe who use our niche expertise in product development as well as Enterprise project implementations. We have adopted the highest standards of service quality and operational excellence, enabling its clients across a wide range of industries to transform into a data-driven enterprise. Our tailor-made solutions help enterprises maximise productivity, improve speed and accuracy. Our adept team industry experts have strong expertise in various industry-standard technologies along with niche emerging areas including Blockchain, Analytics & Visualization, IoT, Chatbot, Data Science- AI & ML. We have hands-on experience in developing and performing supply chain analytics and media greenlighting solutions, connect the dots across data pits for generating actionable insights. We help modernize legacy and on-premise applications by leveraging modern cloud paradigms such as Microservices, Advance Analytics, API Management and other Cloud-native services. With Celebal Technologies, who understands the core value of modern analytics over the enterprise, we help the business in improving business intelligence and more data-driven in architecting solutions. Our analytics team caters to ad-hoc and defined business analytics
Office locations
1
Open roles tracked
0
Posted last 7 days
1
Posted last 30 days
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What employees say
+ Good infrastructure, good team members
− Salary issue, stress , overworked
Recent Glassdoor reviews · 1,791 total
Pros: Good infrastructure, good team members
Cons: Salary issue, stress , overworked
View on GlassdoorPros: good environment for software working
Cons: poor environment for software working
View on GlassdoorPros: The interview process creates positive expectations, but the internship experience itself feels unprofessional. After the selection process, there is very little guidance or mentorship. The focus is primarily on completing assignments within deadlines rather than providing meaningful learning opportunities, structured training, or real industry exposure.
Cons: The program primarily focuses on assigning tasks with strict deadlines, but offers limited mentorship or practical industry exposure. Most of the learning material consists of YouTube videos that appear to be sourced from external creators rather than being developed by the company. I was expecting more structured training, original learning resources, and hands-on guidance aligned with real-world industry practices.
View on GlassdoorPros: Situated at good location making commute easy.
Cons: I can't think of any as of now.
View on GlassdoorPros: Timely payment Good colleagues Free food
Cons: TA Management is very manipulative and entire TA team is working on fake hirings to gain there points. All old employees are working just to save jobs or working on managenent references. Biased people and culture. Groupism and mental harassment by people and management, no process since I joined and it’s been 5 years now. Favouritism at its peak, non deserving HR professionals.
View on GlassdoorCompany review data sourced from Glassdoor.
Glassdoor salary estimates for top hiring roles · 1,710 salary reports on Glassdoor
| Role | Location | Median | Range (LPA) | Reports |
|---|---|---|---|---|
| Engineering | India | — | — – — | — |
Salary benchmarks are estimates from Glassdoor and may differ from individual job listings.
India-scoped Glassdoor interview reports · 304 total · avg difficulty 2.9/5 · 339 questions indexed
I apply on walk in drive after waiting 2 hours my number were come the interviewer ask about gen ai and agentic ai question, I answered all question still not selected
Sample questions
The selection process consisted of an online assessment, followed by two technical interviews focused on data engineering. Shortlisted candidates then participated in a group discussion, and those who qualified advanced to the final HR interview.
Sample questions
It started with a technical assessment, including different sections for coding, SQL, and technology-related questions. Followed by an in-person interview that includes deep knowledge of the cloud with hands-on practie over the cloud platform.
Sample questions
First they take online assessment in which mcq, 2 dsa qs and 2 sql query they asked. After the shortlisting the oa they conduct two round of interview with first round is eleminating. The interview was onsite.
Sample questions
it was medium level interview, asked basics to mid level question . SQl focused, azure basics, oops etc basic concepts. asked explain your project. asked questions based on resume, towards skills written basics.
Questions reported by interview candidates on Glassdoor; edited for clarity. Not guaranteed to match your exact interview.
Top hiring roles: Engineering
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