This role is eligible for our hybrid work model: Two days in the office.

Senior Data Engineer
Our Technology team is the backbone of our company, constantly creating, testing, learning, and iterating to better meet the needs of our customers. If you thrive in a fast-paced, ideas-led environment, you’re in the right place.

Why this job’s a big deal:
As a Senior Data Engineer on our Data & AI/ML team, you will own the cloud-scale data backbone that powers our entire company. Data isn't just a part of our business; it is the fuel for our advanced machine learning models. You will build and optimize systems that process billions of events daily. With the most advanced big data and AI technologies at your fingertips, you will unlock the insights needed to understand, meet, and anticipate the needs of our customers.

In this role you will get to:
• Participate in cloud migration and modernizing current data systems.
• Oversee data systems that serve millions of events a day.
• Maintain and design early warning and analytics systems using cutting-edge big data technologies.




• Collaborate on building software that collects and queries data, while also composing queries for investigation purposes.
• Analyze and provide data-supported recommendations to improve product performance and customer acquisition.
• Diagnose and troubleshoot any issues within data infrastructure.
• Effectively collaborate and engage in team efforts, mentor the junior members in the team, speak up for what you think are the best solutions and be able to converse respectfully and compromise when necessary

Who you are:
• Bachelor’s degree in Computer Science or a related field.
• Minimum of 6+ years of experience in software engineering and development, with a solid focus on Big Data technologies and data-driven solutions.
• Demonstrated expertise in Big Data solutions, including frameworks such as Apache Spark and Kafka. Proficiency in the Google Cloud Platform (GCP) stack is highly desirable.
• Ad

📌 Senior Data Engineer (Mumbai)
🏢 Priceline
📍 Mumbai