Data Platform Engineer

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.

Requirements

• 5+ 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.

Benefits

• Generous compensation in cash and equity
• Early exercise for all options, including pre-vested
• Work from anywhere: Remote-first Culture
• Flexible paid time off and Year-end break
• Health insurance, dental, and vision coverage for employees and dependents - US and Canada specific
• 4% matching in 401k / RRSP - US and Canada specific
• MacBook Pro delivered to your door
• One-time stipend to set up a home office — desk, chair, screen, etc.
• Monthly meal stipend
• Monthly social meet-up stipend
• Annual health and wellness stipend
• Annual Learning stipend

Originally posted on Himalayas