Cybercrime is rising, reaching record highs in 2024, with total losses exceeding $16 billion. The real estate sector remains a lucrative target for cybercriminals, particularly through investment fraud and BEC scams. CertID aims to mitigate these risks by providing a secure platform that verifies identities, authenticates wire transfer instructions, and detects potential fraud attempts.
Requirements
- 5+ years of proven experience in data engineering, ideally in a fast-paced, product-focused environment.
- Solid understanding of cloud data platforms (e.g., Snowflake, BigQuery, Redshift) and orchestration tools (e.g., Airflow, dbt).
- Strong programming skills in Python or Scala, and proficiency in writing efficient SQL.
- Familiarity with real-time data processing frameworks (e.g., Kafka, Spark Streaming).
- Experience designing data models for analytics and machine learning use cases.
- Experience in fintech, cybersecurity, or fraud prevention.
- Familiarity with data privacy regulations (e.g., SOC 2, GDPR, CCPA).
Responsibilities
- Build and maintain scalable, secure, and reliable data pipelines to support analytics, product insights, and machine learning initiatives.
- Contribute to data architecture decisions, balancing performance, reliability, and maintainability.
- Collaborate with product, engineering, and business stakeholders to deliver data solutions that drive strategic and operational impact.
- Promote data quality and governance by implementing best practices for validation, lineage tracking, and observability.
- Share knowledge and support the growth of peers through code reviews, documentation, and informal mentorship.
Other
- A proactive mindset, a strong sense of ownership, and a passion for solving meaningful problems.
- Contribute to meaningful impact and be part of a team dedicated to enhancing security and fighting fraud.
- Growth-minded individuals passionate about protecting our customers and transforming the way sensitive data is secured.
