Job Description
We are looking for a Senior Data Engineer to contribute to high-impact initiatives within the Payments Data Engineering team. In this critical role, you will design, build, and optimize data systems that support the scalability, accuracy, and compliance of our global payments infrastructure. You'll work closely with cross-functional partners in Engineering, Product, Risk, and Compliance to transform complex financial and transactional data into reliable pipelines, actionable insights, and audit-ready datasets.
The ideal candidate is a strong individual contributor who combines deep technical expertise with a pragmatic approach to solving real-world data challenges. You are comfortable navigating ambiguity, driving projects forward, and have a passion for improving payment systems through robust, high-quality data solutions.
Basic Qualifications
7+ years of hands-on experience in software engineering with a focus on data engineering
Proficiency in at least one programming language such as Python, Java, or Scala
Strong SQL skills and experience with large-scale data processing frameworks (e.g., Apache Spark, Flink, MapReduce, Presto)
Demonstrated experience designing, implementing, and operating scalable ETL pipelines and data platforms
Proven ability to work collaboratively across teams and communicate technical concepts to diverse stakeholders
Preferred Qualifications
Deep understanding of data warehousing concepts and data modeling best practices
Hands-on experience with Hadoop ecosystem tools (e.g., Hive, HDFS, Oozie, Airflow, Spark, Presto)
Familiarity with streaming technologies such as Kafka or Samza
Expertise in performance optimization, query tuning, and resource-efficient data processing
Strong problem-solving skills and a track record of owning systems from design to production
