Business Development Manager· New DelhiCurrent employee4.0/5
lagazon is good company to know company
Pros: Learnings , Positive environment ,
Cons: every thing is good in company
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Lagozon Technologies headquartered in Noida, India has 2 active tech roles on Feedback AI with AI match scores, optional skill assessments, and company insights when Glassdoor enrichment exists. Candidates browse open listings on this profile; signed-in users see ranked fit and skill gaps per role. Employers post jobs and review match-ranked applicants on the same platform.
2
Open roles tracked
0
Posted last 7 days
2
Posted last 30 days
Jobs at Lagozon Technologies 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 3.9
- Compensation 3.6
- Culture 4.2
What employees say
+ Learnings , Positive environment ,
− every thing is good in company
Employee voices
Recent Glassdoor reviews · 45 total
Lead Consultant - Analytics Consulting· New DelhiCurrent employee5.0/5
Great Place to Grow Your Career
Pros: I have been working here for 5 years, and I joined as a fresher. This company has played a major role in shaping my career. The learning opportunities, supportive work culture, and continuous growth have been incredible. The top management is one of the best—always approachable, encouraging, and truly committed to helping employees grow. They stand with us in every situation and ensure we feel valued.
Cons: Honestly, nothing major. Every company has areas to improve, but overall the experience has been excellent.
View on GlassdoorManager· Badarpur, DelhiFormer employee5.0/5
Excellent
Pros: Very supportive and approachable leadership team. Positive and collaborative work culture that values employees. Excellent learning opportunities with exposure to diverse projects and latest technologies. Focus on work–life balance with flexibility and understanding managers. Transparent processes and recognition for contributions. A company that truly invests in employee growth and career development.
Cons: As the company is growing, processes are still evolving — but management is proactive in improving them.
View on GlassdoorData Analytics Intern· New DelhiFormer employee3.0/5
It was good
Pros: Good knowledge to gain in the industry
Cons: Low pay as compared to other companies
View on GlassdoorData Analyst Intern· New DelhiFormer employee5.0/5
Great learning experience with supportive mentors
Pros: Helpful and approachable mentors who guide interns well Exposure to real-world projects and practical skills Positive and friendly work culture Flexible learning opportunities and encouragement to ask questions Good platform for freshers to gain industry experience
Cons: No Cons are there for this company.
View on GlassdoorCompany review data sourced from Glassdoor.
Compensation benchmarks
Glassdoor salary estimates for top hiring roles · 39 salary reports on Glassdoor
| Role | Location | Median | Range (LPA) | Reports |
|---|---|---|---|---|
| Data AI Consulting | India | — | — – — | — |
Salary benchmarks are estimates from Glassdoor and may differ from individual job listings.
Interview questions at Lagozon Technologies
18 questions indexed · 5 role tracks
- Power query based questions and code.
- Why did you choose this for internship
- Asked about previous projects and what was your role
- Data lake architecture 4.delta table 5.Partition in column pyspark
Sign in to browse all 18 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 · 11 total · avg difficulty 3.2/5 · 11 questions indexed
Power BI Developer· IndiaDifficultno offer
Smooth process, everything was organised, not much waiting. 4 rounds in the process as below 1. MCQ test: SQL, Power BI, Python etc 2. Technical interview 3. Technical Interview 2 4. HR Round
Sample questions
- Power query based questions and code.
Power BI Developer· New DelhiDifficultdecline offer
The entire process comprises of four rounds 1. Assessment comprising questions from SQL and Power BI 2. Technical Interview 1 : SQL, Power BI, DAX, M query questions 3. Technical Interview 2 : M query in detail, Date transformation 4. HR Round
Sample questions
- 1. Time intelligence functions; 2. M transformations 3. Joins, coelsce based SQL queries 4. 8/2023, 9/2023: convert these type of date formats into 01/08/2023 and 01/09/2023 using M query; The solution should be generalised. 5. Incremental refresh and where it's won't work.
Data Analyst· IndiaAverageaccept offer
They will ask about the projects and experience mentioned in the resume and related to it some of the technical questions. Focus on practicing the basics to intermediate level of questions.
Sample questions
- 1. SQL basics to intermediate questions like windows functions, CTE and joins.
Data Engineer· IndiaAverageno offer
1st round 30 min Normal question they ask you about project related Go through your projects 1. what is databricks 2.which type of data format support data bricks 3. Data lake architecture 4.delta table 5.Partition in column pyspark 6. Primary key and surrogate key in sql 7. What is cet in sql 8. What types of cluster u use in your process
Sample questions
- 1. what is databricks 2.which type of data format support data bricks 3. Data lake architecture 4.delta table 5.Partition in column pyspark 6. Primary key and surrogate key in sql 7. What is cet in sql 8. What types of cluster u use in your process
Data Engineer· New DelhiDifficultno offer
First-round Interview: The first in-person or virtual interview is typically with a recruiter, HR representative, or a hiring manager. This interview may focus on your background, skills, and overall fit for the company and the role. Technical or Skill Assessment: Depending on the nature of the job, you may be required to complete a technical assessment or skills test. This could involve problem-solving, coding exercises, or other relevant tasks. Second-round Interview: If you pass the initial interview and assessments, you may be invited for a second-round interview. This could involve meeting with additional team members, managers, or other stakeholders. The focus may shift to more detailed discussions about your skills and experiences. Behavioral Interview: Behavioral interviews assess how you have handled situations in the past to predict how you might behave in the future. You may be asked to provide examples of how you've dealt with challenges, worked in teams, or demonstrated leadership skills. Final Interview: The final interview may involve meeting with senior management, executives, or key decision-makers within the organization. This is often the last step before a job offer is extended. Reference Check: After the final interview or as part of the offer process, the company may contact your references to verify your work history, skills, and qualifications. Job Offer: If you successfully navigate the interview process and pass the reference check, you may receive a job offer
Sample questions
- What is the role of a data engineer, and how does it differ from other data-related roles? This question aims to assess your understanding of the responsibilities specific to a data engineer and how it compares to roles like data analyst or data scientist. Explain the ETL process. ETL stands for Extract, Transform, Load. Describe how data is extracted from various sources, transformed into a suitable format, and loaded into a data warehouse or database. What programming languages are commonly used in data engineering, and which ones are you familiar with? Data engineers often use languages like Python, Java, or Scala. Be prepared to discuss your proficiency in these languages and any related tools or frameworks. What is the difference between a relational database and a data warehouse? Relational databases are designed for transactional processing, while data warehouses are optimized for analytical queries. Explain the distinctions between these two types of data storage. How would you handle missing or incomplete data in a dataset? Discuss techniques for identifying and handling missing or incomplete data, such as imputation or removing irrelevant records. What is Apache Hadoop, and how is it used in data engineering? Provide an overview of Hadoop and its components, such as HDFS (Hadoop Distributed File System) and MapReduce, and discuss its role in processing large-scale data. Explain the concept of data normalization. Data normalization is a process that organizes data in a database to reduce redundancy and improve data integrity. Explain the basic principles of normalization. What is a data pipeline, and how is it used in data engineering? Discuss the concept of a data pipeline, which is a set of processes that move data from one place to another. Explain its importance in the context of data engineering. Can you explain the concept of partitioning in databases? Partitioning is a technique used to divide large tables into smaller, more manageable pieces. Discuss the benefits of partitioning in terms of performance and maintenance. How do you ensure the security and privacy of data in a data engineering project? Discuss best practices for ensuring data security, including encryption, access controls, and compliance with data protection regulations.
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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Lagozon Technologies hiring FAQ
Last updated 26 October 2026
- Is Lagozon Technologies hiring on Feedback AI?
- Lagozon Technologies has 2 active open roles on Feedback AI today. Roles are listed for Noida, India 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 Lagozon Technologies have?
- Feedback AI tracks 2 active Lagozon Technologies job listings right now. Counts refresh from live postings — inactive listings are removed from the public board.
- How does Feedback AI match candidates to Lagozon Technologies 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 Lagozon Technologies?
- This profile includes 11 Glassdoor-backed interview experiences when enrichment gates pass — process notes, difficulty, and sample questions where available. 18 company-specific practice questions are mapped for interview prep.
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