Sr. Data Engineer

5+ years in data engineering, 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 (bonus 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.

Architect and implement scalable ETL and data pipelines spanning ClickHouse, Postgres, Athena, and cloud-native sources. Design, develop, and optimize distributed data storage solutions for high performance and reliability. Drive schema evolution, data modeling, and advanced optimizations for analytical and operational databases. Own end-to-end data flow, integrating internal and external data sources, enforcing data validation and lineage. Collaborate cross-functionally with engineers, product managers, and data scientists. Champion radical ownership, identifying opportunities and implementing technical and process solutions. Mentor and upskill team members, cultivate a learning environment, and contribute to a collaborative culture.