Data Developer, FinTech

Priceline • Toronto, ON

4d • Hybrid

About The Position

This role is eligible for our hybrid work model: 2 days in-office. This job posting is for an existing, currently vacant position. Data Developer, FinTech. 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: Enjoy working with big data? We do too! In fact, data lies at the very core of our business! As a data engineer you will be working on data systems that serve and generate billions of events each day. With the most advanced big data technologies at your fingertips, you will leverage data to understand, meet, and anticipate the needs of our customers.

Requirements

• Bachelor’s degree in Computer Science.
• 4+ years of work experience in Software Engineering and development.
• Proficient in applying search engines like Apache Lucene , Apache Solr and ElasticSearch.
• Expert knowledge of Big Data solutions such as Cassandra, Hadoop, Spark, Kafka, and RabbittMQ.
• Experienced with strategies such as indexing, machine-learned rankings, clustering and distributed concepts.
• Expertise in Google Cloud Platform (GCP) services, especially BigQuery, Cloud Dataflow, Cloud Composer, Cloud Storage, Pub/Sub, and Cloud Functions.
• Strong with ETL/ELT processes, data ingestion, and data transformation, particularly with tools like Apache Beam, Dataflow, and Airflow.
• Proficiency in Python, SQL, and ideally one or more of Java/Scala for data processing.
• Experience with continuous integration and deployment for data pipelines using GitHub Actions, Jenkins
• Illustrated history of living the values necessary to Priceline: Customer, Innovation, Team, Accountability and Trust.
• Unquestionable integrity and ethics is essential.

Responsibilities

• Participate in cloud migration and modernizing current data systems.
• Oversee data systems that serve hundreds of millions of real time events a day.
• Collaborate on building software that collects and queries data, while also composing queries for investigation purposes.
• Diagnose and solve any issues within data infrastructure.
• Develop and maintain scalable data pipelines on a cloud platform (e.g., GCP, AWS, Azure), utilizing data orchestration tools like Apache Airflow, cloud-native tools
• Develop ETL and ELT processes to ingest, transform, and cleanse data from various sources into cloud-based data warehouses
• Create and maintain data models in cloud data warehouses (BigQuery, Redshift, Synapse) optimized for analytics, reporting, and financial analysis
• Implement data validation and testing frameworks to ensure the accuracy, quality, and compliance of financial data.
• Implement monitoring and alerting for data pipelines using tools
• Develop and maintain machine learning pipelines for financial data analysis, including data preparation, feature engineering, model training, and deployment

Benefits

• Health & wellness coverage including medical, dental, vision, and mental health resources
• Generous time off including PTO, holidays, a company-wide Priceline Pause reset week, and paid volunteer days
• Work/life support including the ability to work up to 4 weeks per year from anywhere, parental leave, dependent care and family support resources, Summer Fridays, and office perks like stocked kitchens and catered meals (varies by location)
• Financial security programs such as retirement plans with company contributions, life and disability coverage, and tax-advantaged accounts
• Signature travel perks including employee-only discounts on hotels and flights, VIP deals, and Big Deal Bucks credits
• Additional perks & discounts like travel and partner discounts, tuition support, legal support, and pet benefits
• A people-first culture with Employee Resource Groups (ERGs), social events, recognition programs, and service awards that help you connect, grow, and celebrate together

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level