Jumio Corporation
As a Platform Engineer working in the data domain, you will architect and build the fundamental tools and infrastructure leveraged by data producers and consumers at Jumio. You’ll be solving complex problems in innovative ways and collaborating with exceptionally talented colleagues.
Example Responsibilities:
Set up infrastructure, tools, and libraries that enable stakeholder teams to conveniently produce/consume data and create data products to power ML and product use-cases
Enforce data governance via tools like schema registry and programmatically enforced methodologies
Set up data catalog and data lineage services to increase metadata availability & discoverability
Opportunity to take the lead in building cutting edge architecture
Experience and Qualifications:
5+ years of software / data platform engineering experience
Lead contributor to successful large scale data platforms
Experience with cloud environments (AWS preferred)
Hands-on experience with infrastructure as code (Terraform)
Knowledge of data-specific infrastructure components (e.g. Kafka, AWS Kinesis) & Big Data technologies (e.g. Spark, Flink, Kafka Streams)
Understanding of data storage principles and data formats (e.g. Avro, Protobuf, Parquet, Delta, or other formats)
Understanding of governance and security requirements around sensitive data
Proficiency in object-oriented and/or functional programming languages (e.g. Python, Java, Scala or Kotlin)
Strong knowledge of orchestrating distributed microservices and the related tooling (e.g. Docker, AWS ECS, or other containerization & orchestration tools)
Experience with software development patterns, best practices (e.g. TDD), and principles (e.g. SOLID)
Nice to have: understanding of common infrastructure leveraged for ETLs (e.g. Airflow or other schedulers)
Passion for learning new things and bringing in new ideas