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Senior Data Engineer
Skills
Back-End Web DevelopmentAccount ReconciliationAnalyticsArchitectureArtificial IntelligenceData EngineeringEngineering
What the job involves
The main requirements, responsibilities and hiring steps.
Requirements
- 5+ years of experience in data engineering or data infrastructure
- Strong experience building production data platforms including ingestion transformation modelling and serving
- Expertise in SQL and large-scale data processing
- Experience with modern data stack tools such as Airflow dbt ClickHouse BigQuery Snowflake or Athena
- Experience with event-driven architectures and real-time or near real-time data processing
- Strong programming skills in Python or similar backend languages
- Experience designing systems with data quality monitoring and reliability in mind
- Ability to operate independently and own production systems end-to-end in a remote async team
Nice to have
- Independent
- Detail-oriented
- Collaborative
- Reliable
- Adaptable
Day to day
- Design and operate scalable data pipelines for payments and platform data in an event-driven environment
- Build and maintain real-time processing systems with strong monitoring reliability and data correctness
- Develop backend services that expose trusted data to internal platforms APIs and downstream teams