oscilar - Data Engineer
Requirements
• 5+ years in data engineering (or equivalent), including architecting and operating production ETL/ELT pipelines for real-time, high-volume analytic platforms. • Deep proficiency with ClickHouse, Postgres, Athena, and distributed data systems (Kafka, cloud-native stores); proven experience with both batch and streaming pipeline design. • Advanced programming in Python and SQL, with bonus points for Java • Expertise in workflow orchestration (Airflow, Step Functions), CI/CD, and automated testing for data. • Experience in high-scale, low-latency environments; understanding of security, privacy, and compliance requirements for financial-grade platforms. • Strong communication, business alignment, and documentation abilities—capable of translating complex tech into actionable value for customers and stakeholders. • Alignment with Oscilar’s values: customer obsession, radical ownership, bold vision, efficient growth, and unified teamwork with a culture of trust and excellence.
Responsibilities
• Architect and implement scalable ETL and data pipelines spanning ClickHouse, Postgres, Athena, and diverse cloud-native sources to support real-time risk management and advanced analytics for AI-driven decisioning. • Design, develop, and optimize distributed data storage solutions to ensure both high performance (low latency, high throughput) and reliability at scale—serving mission-critical models for fraud detection and compliance. • Drive schema evolution, data modeling, and advanced optimizations for analytical and operational databases, including sharding, partitioning, and pipeline orchestration (batch, streaming, CDC frameworks). • Own the end-to-end data flow: integrate multiple internal and external data sources, enforce data validation and lineage, automate and monitor workflow reliability (CI/CD for data, anomaly detection, etc.). • Collaborate cross-functionally with engineers, product managers, and data scientists to deliver secure, scalable solutions that enable fast experimentation and robust operationalization of new ML/AI models. • Champion radical ownership—identify opportunities, propose improvements, and implement innovative technical and process solutions within a fast-moving, remote-first culture. • Mentor and upskill team members, cultivate a learning environment, and contribute to a collaborative, mission-oriented culture.
Benefits
• Mission-driven teams: Work alongside industry veterans from Meta, Uber, Citi, and Confluent, all united by a shared goal to make the digital world safer. • Ownership and impact: We believe in extreme ownership. You'll be empowered to take responsibility, move fast, and make decisions that drive our mission forward. • Innovate at the cutting edge: Your work will shape how modern finance detects fraud and manages risk. • Compensation: Candidates are hired as CLT and are offered competitive salary • Stock Options: Candidates will receive stock options • Benefits: 100% of your Medical/Dental (Care Plus) for you and your dependents; 100% Life / LTD (Prudential) • Caju Card: We offer a Caju Card for monthly meal allowance • Flexibility: Remote first culture. • Culture: Family-Friendly environment; Regular team events and offsites. • Development: Unparalleled learning and professional development opportunities. • Impact: Making the internet safer by protecting online transactions.
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