Software Engineer - Data Transformation and Movement

Yesterday

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Logo of Stripe

Stripe

1001 - 5000

πŸ’° Venture Round on 2021-05

Description

β€’ Stripe is a financial infrastructure platform for businesses. β€’ The Data Transformation and Movement team operates the critical infrastructure that powers near-realtime and batch data processing at Stripe. β€’ This role could be on any one of the following sub-teams: Data Movement, Data Orchestration, Data Transformation. β€’ Our team operates on a wide range of tech stacks including Kafka, Event Bus, Change Data Capture, Flink, Spark, Airflow, Hive MetaStore, Trino, Pinot, SQL, Python, Java, Scala, S3, and Iceberg.

Requirements

β€’ BS or MS in Computer Science or equivalent field and interest in data β€’ 2-5 years of professional experience writing high quality production level code or software programs β€’ Has experience operating or enabling large-scale, high-availability data pipelines from design, to execution and safe change management. Expertise in Spark, Flink, Spark, Airflow, Python, Java, SQL, and API design is a plus. β€’ Has experience developing, maintaining, and debugging distributed systems built with open source tools β€’ Has experience building infrastructure-as-a-product with a strong focus on users needs β€’ Has strong collaboration and communication skills, and can comfortably interact with both technical and non-technical participants. β€’ Has the curiosity to continuously learn about new technologies and business processes. β€’ Is energized by delivering effective, user-first solutions through creative problem-solving and collaboration. β€’ Has experience writing production-level code in Expertise in Scala, Spark, Flink, Spark, Airflow, Python, Java, and SQL is a plus. β€’ Experience packaging and deploying code into cloud-based environments (AWS, GCP, Azure) with tools including Bazel, Docker Containers, etc β€’ Has experience designing APIs or building developer platforms β€’ Has experience optimizing the end to end performance of distributed systems β€’ Has experience with scaling distributed systems in a rapidly moving environment β€’ Has experience working with data pipelines β€’ Genuine enjoyment of innovation and a deep interest in understanding how things work

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