Senior Data Engineer
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Job Summary
To support the development of data products, the full-time Senior Data Engineer will design, build, and manage scalable data pipelines and backend services in a remote environment, focusing on performance and reliability across blockchain data systems.
Key responsibilities
- Design and implement high-throughput data pipelines and backend services using Go and Python
- Optimize data models and analytical workloads in ClickHouse for performance and efficiency
- Collaborate with product and analytics teams to translate their needs into effective platform designs
Required qualifications
- 5+ years of experience in building and operating production data systems, including ETL and ELT pipelines
- Expertise in Python and strong SQL skills, with experience in building incremental data models over large datasets
- Proficiency in Go for backend services, with a focus on high-throughput applications
- Experience with ClickHouse and Databricks in a production environment, including query tuning and cost management
- Hands-on experience with large-scale data pipelines and familiarity with Kafka, Airflow, and Kubernetes
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