We are a leader in fraud prevention and AML compliance, seeking a Data Platform Engineer to design and build scalable, data-intensive applications.
This role requires expertise in ingesting and transforming large datasets, creating APIs for efficient data retrieval, and developing data products that drive business insights.Requirements5+ years of experience building scalable backend systems, designing high-performance APIs, and processing large-scale datasets.Hands-on experience designing and building streaming pipelines using technologies like Apache Flink, Apache Beam, Airflow, and Apache Spark.Expertise in Go, Python, or Java, combined with a strong foundation in SQL and NoSQL databases (such as Bigtable, BigQuery, or DynamoDB) for scalable storage solutions.Proficiency with AWS or GCP infrastructure, containerization using Docker and Kubernetes, and managing CI/CD pipelines to support efficient deployments.BenefitsGenerous compensation in cash and equityEarly exercise for all options, including pre-vestedWork from anywhere: Remote-first CultureFlexible paid time off and Year-end breakHealth insurance, dental, and vision coverage for employees and dependents - US and Canada specific4% matching in 401k / RRSP - US and Canada specificMacBook Pro delivered to your doorOne-time stipend to set up a home office — desk, chair, screen, etc.Monthly meal stipendMonthly social meet-up stipendAnnual health and wellness stipendAnnual Learning stipendOriginally posted on Himalayas
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