Cloudera is the only data and AI platform company that brings AI to data anywhere: in clouds, data centers, and at the edge. Cloudera delivers 100% of data in all forms–whether it is in Cloudera or anywhere in the entire data estate. The world’s largest organizations rely on Cloudera to fuel insights that boost bottom lines, safeguard against threats, and save lives. Learn more at Cloudera.com.
--------------------------------------------------------------------------------- Recruitment Fraud Alert It has come to our attention that job seekers have been contacted about fake job opportunities with Cloudera from individuals fraudulently posing as Cloudera employees. These recruiting fraud schemes often include requests for personal information and payments.
Be aware that Cloudera will never request a payment as part of its recruitment process. Additionally, Cloudera will never make a job offer without conducting an interview process. Any information submitted to Cloudera in relation to a job application should only be through our official career portal (https://www.cloudera.com/careers.html). Email communications from Cloudera will come from an email address ending in @cloudera.com.
If you are the target of a recruiting scam, consider filing a report with law enforcement authorities. Cloudera is not responsible for fraudulent job offers and/or any claims, damages, expenses, or other inconvenience connected to recruiting scams.
Rating Reviews
Rating is calculated based on
49
reviews and is evolving.
Pros: Competitive compensation for Software Engineers, with strong salary and valuable stock options. Robust health benefits and PTO are great. Good professional development in data analytics and cloud computing.
Cons: Workload can be intense during peak periods, impacting work-life balance. Internal approval processes for new tools could be faster, which would help agility in the fast-paced data analytics industry.
Advice to Management: Streamline internal approval processes for better agility in the data analytics industry. Manage workload spikes effectively to support Software Engineer well-being. Continue strong investment in professional development; it's key.
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Pros: Cloudera offers a great environment for tech professionals in Singapore. The work is challenging and intellectually stimulating, especially if you're into big data and cloud solutions. There’s a strong emphasis on collaboration and knowledge sharing among engineers. The flexibility for remote work and hybrid arrangements is definitely a major perk. It's a place where you can really grow your skills in distributed systems and data management.
Cons: While the technical challenges are rewarding, sometimes the pace can feel a bit driven by external factors rather than internal strategy, leading to shifting priorities. Communication between different departments could occasionally be smoother to ensure alignment on project roadmaps. There's room for improvement in streamlining some of the internal processes to enhance overall efficiency for the software development lifecycle.
Advice to Management: Continue fostering a culture of open communication and clear strategic direction. Investing further in employee development programs would be highly beneficial for retention and growth.
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Pros: Cloudera's a great place to grow your technical skills, especially if you're into big data and cloud technologies. I've learned a ton from my senior colleagues; they're incredibly smart and always willing to share knowledge. The engineering challenges are genuinely interesting, and leadership generally trusts us to find good solutions. It's a collaborative environment where you feel supported by your team and direct managers.
Cons: While leadership is generally strong, communication on broader company strategy can sometimes feel a bit high-level, making it hard to connect daily work to the bigger picture. Also, some internal processes for cross-team collaboration could be streamlined. Promotions can feel a bit slow sometimes, even with good performance.
Advice to Management: Continue to improve transparent communication regarding overall company direction and how individual team efforts contribute. Investing in streamlining cross-functional processes would also greatly benefit productivity and reduce friction.
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Does Cloudera offer generous paid time off for employees in the data analytics industry?
Yes, Cloudera provides a solid PTO package that has been great for maintaining work-life balance while working on big data projects. The time off really helps recharge for the challenges in the enterprise software sector.
How accurate are Cloudera's job descriptions for their data engineering roles in Chicago for a large enterprise company?
From my experience, Cloudera's job descriptions for data engineering roles in Chicago were quite accurate, detailing the specific big data technologies and responsibilities we'd encounter in the enterprise environment.
What are the typical steps in the Cloudera hiring process for a data engineer role?
My application for a data engineer position at Cloudera involved an initial screening, a technical interview focusing on distributed systems and SQL, and then a final round with the hiring manager. The entire process for this large tech company was quite thorough.
What is the interview process like for a Senior Software Engineer at Cloudera in San Jose?
The Cloudera interview process for engineering roles in San Jose typically involves a technical phone screen, followed by an onsite panel interview covering system design, coding, and behavioral questions.
What's the typical promotion timeline like at Cloudera for software engineers?
In my experience at Cloudera, a large data company, promotion cycles for software engineers are usually annual, often tied to performance reviews. It felt achievable to progress from junior to senior roles within 2-3 years if performance was strong.
What's the performance feedback process like for category managers at Cloudera, a large enterprise tech company?
At Cloudera, I've found the performance feedback for category managers to be consistent, with regular check-ins and clear goals tied to our impact on the business.
What's it like working in Category Management at Cloudera, and what are the typical team support structures for roles like mine?
In Cloudera's Category Management team, I've found the support for our category strategy and supplier negotiations to be robust. Our team is integrated within a larger, enterprise-level tech company, so we often collaborate with data analytics and cloud engineering professionals to drive key initiatives.
How does Cloudera support fairness and ethical AI practices in its big data solutions for enterprise clients?
At Cloudera, we actively build fairness and explainability into our AI and machine learning lifecycle, ensuring responsible data use for large enterprises. We provide tools and frameworks to help customers mitigate bias in their models.
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