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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.
Job Responsibility:
Partner with engineers, analysts, and product managers to define technical solutions that support business goals
Contribute to the architecture and implementation of distributed data systems and platforms
Identify inefficiencies in data processing and proactively drive improvements in performance, reliability, and cost
Serve as a thought leader and mentor in data engineering best practices across the organization
Requirements:
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
Nice to have:
Deep understanding of data warehousing concepts and data modeling best practices