Autofill application

Save time by importing your resume in one of the following formats: .pdf, .doc, .docx, .odt, or .rtf.

* Required fields

Personal information

Clear

*****First name

*****Last name

*****Email

Photo (Optional)

Choose file or drag and drop here

*****Resume

Choose file or drag and drop here

Cover letter (Optional)

*****Professional Experience: 5+ years of experience in data engineering or data infrastructure, with a proven track record of shipping and operating production-grade systems.

YES

NO

*****Technical Proficiency: Expert-level SQL skills and strong programming experience in Python or similar backend languages.

YES

NO

*****Modern Data Stack: Significant experience with tools such as Airflow, dbt, ClickHouse, BigQuery, Snowflake, or Athena.

YES

NO

*****Architectural Knowledge: Deep understanding of event-driven architectures and real-time/near real-time data processing.

YES

NO

*****AI Integration: Proficiency in using AI-assisted development tools and agents, maintaining high discipline in validating and productionizing generated code.

YES

NO

*****Reliability Mindset: Experience designing systems where data quality and observability are treated as first-class concerns.

YES

NO

*****Sector Expertise: Previous experience in Fintech, payments, or financial infrastructure (specifically reconciliation, settlement, or ledger reporting).

YES

NO

*****Industry Context: Exposure to Web3, blockchain, or crypto ecosystems (on-chain data or wallet analytics).

YES

NO

*****System Scale: Experience handling high-volume event data at scale within a fast-growing startup environment.

YES

NO

*****Languages: Familiarity with Rust is considered a strong plus.

YES

NO

*****1) LinkedIn URL 2) Current Location 3) Expected salary in USD per year 4) Preference for remote/hybrid/on-site/no preference 5) Please confirm your work authorisation 6) Please confirm when you are available to start a new position (e.g 1 month notice)