Highlights
Innovative cloud migration projects, real-time event processing, advanced analytics, remote flexibility.
Description
Job Summary
pAre you passionate about working with big data and cloud technologies? Join our dynamic Technology team at Priceline, where you'll participate in cutting-edge projects like cloud migration and modernizing data systems. You’ll have the opportunity to work on systems that serve billions of events daily, using advanced tools to drive customer-centric solutions.
Responsibilities
- Participate in cloud migration and modernize current data systems.
- Support real-time data systems serving hundreds of millions of events a day.
- Maintain and craft early warning and analytics systems using big data technologies.
- Collaborate on building software that collects and queries data for investigation purposes.
- Analyze data to provide recommendations for product performance improvement.
- Maintain regular communication with the project team and stakeholders.
- Diagnose and troubleshoot issues within data infrastructure.
Required Skills
- Data Engineering
- Python Programming
- SQL Analysis
- Hadoop & Spark
- Machine Learning
Required Skills Explained
- Bachelor’s degree in computer science
- 2 years of Data Engineering experience using Python
- Experience in writing and analyzing SQL constructs
- Basic knowledge of Big Data solutions such as Hadoop, Spark
- Experienced with strategies such as indexing, machine-learned rankings, clustering, and distributed concepts
Who is this for
pWe're looking for a skilled Data Engineer who thrives in a fast-paced environment and has experience with big data technologies. If you enjoy working on complex systems that serve billions of events daily, this role is perfect for you.
Why This Job is a Good Opportunity
ulliWork on data systems that serve and generate billions of events daily using the most sophisticated big data technologies.liPotential for innovation and impact in an environment that values customer-centric solutions.liOpportunities to collaborate with talented teams and contribute to groundbreaking projects.liHybrid work model offering flexibility while maintaining strong company culture.
Interview Preparation Tips
- Review key data engineering concepts and technologies like Hadoop, Spark, Python, SQL.
- Pretend to explain complex systems in simple terms to demonstrate your ability to communicate technical ideas effectively.
- Craft examples of how you have resolved data issues or improved system performance in previous roles.
- Prepare questions about the company’s data infrastructure and culture to show genuine interest.
Career Growth in This Role
pThis role provides a solid foundation for advanced career opportunities within big data engineering. As a Data Engineer, you can look forward to mastering new technologies, leading projects, and potentially advancing into roles such as Senior Data Engineer or even Data Engineering Manager. The fast-paced environment also offers ample opportunity to take on leadership positions and mentor junior team members.pThe hybrid work model allows for flexibility while still being part of a vibrant company culture. This can be particularly beneficial if you are looking to grow both personally and professionally in an inclusive and innovative setting.
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Skills
Frequently Asked Questions
What kind of projects will I be working on?You'll work on cloud migration, modernizing current data systems, and building advanced analytics tools.
Is this a remote position?This role follows a hybrid model with two days in the office and three days flexible (remote or in-office).
What benefits come with the job?Health & wellness coverage, generous time off, work/life support, financial security programs, and additional travel perks.
