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Databricks is the data and AI company. More than 5,000 organizations worldwide — including Comcast, Condé Nast, H&M, and over 40% of the Fortune 500 — rely on the Databricks Lakehouse Platform to unify their data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe. Founded by the original creators of Apache Spark™, Delta Lake and MLflow, Databricks is on a mission to help data teams solve the world's toughest problems. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.
Office locations
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Open roles tracked
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Posted last 7 days
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Posted last 30 days
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What employees say
+ good perks with good work like balance
− depends on the projects we work if the person is in ps
Recent Glassdoor reviews · 1,805 total
Pros: good perks with good work like balance
Cons: depends on the projects we work if the person is in ps
View on GlassdoorPros: You'll have the opportunity to work alongside highly talented and intelligent people, making it a great place to learn. The office environment is excellent, with modern facilities, attractive perks, and competitive benefits. The work can be demanding and challenging, but if you're proactive and capable, it offers tremendous learning opportunities.
Cons: You will not grow. There is very little focus on recognizing or rewarding employees for their contributions. Significant achievements and impactful projects often go unnoticed, with no effort made to celebrate milestones or acknowledge successes. The HR leadership, particularly in its support of HR team members, is disappointing and lacks empathy and advocacy. Compensation does not appear to be benchmarked effectively against the market, resulting in concerns about fairness and competitiveness. Overall, the culture feels transactional, with employees often feeling like they are simply used until they are no longer needed, rather than being valued and invested in.
View on GlassdoorPros: Great Compensation Clear visibility of your works contribution to the Co Goals Founder Led Executive lvl leaders are great
Cons: Tough Work environment to survive Work Life balance
View on GlassdoorPros: Great place to work and learn a new technologies.
Cons: Very fast paced environment and you have to work very hard to stay upto the mark
View on GlassdoorPros: Good compensation, benefits and culture
Cons: Required to take late night calls depending on team.
View on GlassdoorCompany review data sourced from Glassdoor.
Glassdoor salary estimates for top hiring roles · 3,086 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 · 66 total · avg difficulty 3.2/5 · 69 questions indexed
Very clear, they give you a pdf with the 6 seperate interviews that will be scheduled + what each interview will cover. They also give you a reminder email before each interview with even more information about exactly what will be asked in the next interview which allows you to focus and prepare for each one. Lots of technical depth required as they will really deep dive and ask you many questions.
Sample questions
3 Technical Rounds + 1 Hr Round. Those who performed well in 2 Technical rounds got selected for 3rd. Then was followed by an HR round. Was an on campus interview. Shortlisting purely based on cgpa, cp rating and projects.
Sample questions
3 Rounds - 2 DSA and 1 Managerial DSA Rounds had many follow ups, so ensure you are fast enough in explaining your solutions to the interviewer, start from brute to best if time allows you to do so.
Sample questions
The interview process consisted of an initial HR screening followed by a technical interview with the support engineering team. Questions focused on troubleshooting, customer issue resolution, system administration concepts, and problem-solving skills. The interviewers were professional and asked about previous support experience and handling critical incidents
Sample questions
Too many rounds and long wait for the process to complete. SSL,TCP ip related s3 aws gcp k8s docker container storage related issue question swill be asked during the process of the interview
Sample questions
Top hiring roles: Engineering
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