Data Engineer

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

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.

Job Summary

As a 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.

Responsibilities

• 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.

Qualifications

• Bachelor's degree in Computer Science or a related field.
• Minimum of 4 years of experience in software engineering and development, with a strong 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.
• Advanced knowledge in data modeling and schema design for optimized data storage and retrieval.
• Strong command of databases, including Cloud SQL (MySQL, PostgreSQL), BigQuery, and Oracle.
• Extensive experience with GCP tools, specifically Dataflow and Dataproc, for building and managing large-scale data processing pipelines.
• Proficiency in data orchestration frameworks, particularly Apache Airflow, for scheduling and managing complex workflows.
• Proven ability to analyze, debug, and resolve data processing issues efficiently.
• Proficient in Python/Java/Scala, with the ability to write efficient, maintainable code in any language.
• Experience with enterprise ETL tools such as Informatica (PowerCenter or similar) is a plus, especially for understanding and helping migrate legacy batch processes into GCP-based pipelines.
• Experience with data visualization tools, such as Tableau, is a plus for representing data insights.
• Familiarity with advanced data processing strategies, including indexing, machine-learned ranking algorithms, clustering techniques, and distributed computing concepts. (advanced concepts of Spark)
• CI-CD - GitHub, Github Actions, Jenkins, Maven,
• Illustrated history of living the values necessary to Priceline: Customer, innovation, Team, Accountability and trust.
• The Right Results, the Right Way is not just a motto at Priceline; it's a way of life. Unquestionable integrity and ethics is essential.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.