Sr. Staff Data Engineer
Core
Architect and build large-scale, secure, and scalable data pipelines and enterprise-class applications for global transaction processing systems, integrating machine learning models.
Role type
Sr. Staff Data Engineer (Big Data & ML Ops)
Builds
Global transaction processing systems, data token platform, real-time scoring services, and next-generation software incorporating ML/DL.
Domain
Financial services / Payments / Big Data Engineering / Machine Learning
Deliverable
production ML models | product features | infrastructure
Required skills
Big data engineering, Hadoop, Apache Spark, Python, SQL, ETL development, AI/ML model operationalization, Unix/Shell scripting, Airflow, Control-M, relational and non-relational databases, containerization (Docker, Kubernetes), CI/CD, TDD, security analysis.
Preferred skills
Kafka, Redis, Flink, TensorFlow, Triton, AWS, Scala, mentoring, Agile leadership.
Technologies
Hadoop, Apache Spark, Python, SQL, Kafka, Redis, Flink, TensorFlow, Triton, AWS, Docker, Kubernetes, Airflow, Control-M, Scala
Responsibilities
Architect highly secure, robust, and scalable solutions; drive internal proof-of-concept efforts; design and prototype system or component solutions; champion design and implementation of components within global transaction processing systems; coach and mentor team members; represent the team in technical forums.
Seniority
Sr. Staff, hands-on IC with leadership & mentorship
