Salary
Not Disclosed
Location
Mumbai
Highlights
Work on billion-event data systems, use advanced big data technologies, flexible hybrid work model.
Description
Job Summary
pWe are seeking a skilled Data Engineer to join our Technology team. This role involves participating in cloud migration and modernizing data systems, supporting real-time event services, and crafting advanced analytics solutions using cutting-edge big data technologies.Responsibilities
- Participate in cloud migration and modernize current data systems.
- Support data systems that serve hundreds of millions of real-time events daily.
- Maintain early warning and analytics systems with big data technologies.
- Collaborate on building software for collecting and querying data, including composing queries for investigation purposes.
- Analyze and provide data-supported recommendations to improve product performance and customer acquisition.
Required Skills
- Data engineering experience using Python.
- Experience in writing and analyzing SQL constructs.
- Familiarity with big data solutions like Hadoop, Spark.
- Knowledge of Business Intelligence tools - Tableau and VisualCron.
- Experience with indexing, machine-learned rankings, clustering, and distributed concepts.
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
- Experience with Business Intelligence tools – Tableau and VisualCron
- Experienced with strategies such as indexing, machine-learned rankings, clustering, and distributed concepts
Who is this for
pThis role suits professionals who have a strong background in data engineering, particularly those with experience in Python, SQL, Hadoop, Spark, Tableau, and VisualCron. A bachelor's degree in Computer Science or related fields is essential. Individuals who thrive in a fast-paced environment and are committed to delivering the best customer experiences will find this position rewarding.Why This Job is a Good Opportunity
ulliWork on data systems that serve billions of events daily, using sophisticated big data technologies.liPotential to innovate and drive significant impact for the company by analyzing and providing data-supported recommendations.liJoin a dynamic team where creativity and collaboration are valued.liBecome part of a culture focused on delivering exceptional customer experiences through cutting-edge technology.Interview Preparation Tips
- Review your experience with Big Data solutions like Hadoop, Spark, and SQL constructs thoroughly.
- Prepare examples demonstrating how you have used Python in data engineering projects.
- Be ready to discuss specific BI tools (Tableau, VisualCron) and their application in previous roles.
- Highlight your understanding of indexing, machine learning, clustering, and distributed computing concepts.
Career Growth in This Role
pThe role offers a pathway for career advancement within the Technology team. As you gain experience, you may take on more complex projects or transition into leadership roles where you can mentor junior engineers and drive strategic initiatives. The fast-paced environment also provides opportunities to explore new technologies and techniques that can further enhance your skill set.Explore More Opportunities
Skills
Frequently Asked Questions
What are the responsibilities of a Data Engineer at Priceline?Responsibilities include cloud migration, modernizing data systems, supporting real-time event services, crafting advanced analytics solutions using big data technologies.
Is this position eligible for hybrid work?Yes, the role follows a hybrid working model with two days in-office, chosen by you and your manager.
What kind of support will I get during onboarding?We provide comprehensive onboarding support to help new hires acclimate quickly and effectively into our tech team.