Data Engineering Leader for Fintech Systems
6 days ago
This is a key role in our Technology team, driving the creation and iteration of data systems that serve and generate billions of events each day.
We are looking for an experienced Senior Data Engineer to work with Financial data warehouse and ERP systems, leveraging data to understand, meet, and anticipate the needs of finance business users.
As part of this role, you will participate in cloud migration and modernizing current data systems, oversee data systems that serve millions of real-time events a day, maintain and design early warning and analytics systems using cutting-edge big data technologies.
You will 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.
Additionally, you will diagnose and troubleshoot any issues within data infrastructure, effectively collaborate and engage in team efforts, mentoring junior members, and speak up for what you think are the best solutions.
To be successful in this role, you will need:
- Bachelor's degree in Computer Science or a related field
- Minimum of 6 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 CloudSQL (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 Java or Python, with the ability to write efficient, maintainable code in either language
- Experience with data visualization tools, such as Tableau, for representing data insights
- Familiarity with advanced data processing strategies, including indexing, machine-learned ranking algorithms, clustering techniques, and distributed computing concepts
- A proven history of living the values necessary to Priceline: Customer, Innovation, Team, Accountability, and Trust
We offer a competitive salary of $180,000 per year, plus additional benefits and perks.
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