What are the role responsibilities?

📍Collaborating with business teams to design systems architecture: 📍Design and implement robust, scalable, and optimized data architectures. 📍Support continuing increases in data volume and complexity. 📍Pipeline Ownership: 📍Establish best practices and patterns to source, qualify, and ingest data from third party sources. 📍Work with data analysts and data scientists to decode and analyze onchain data at scale. 📍Recommend and implement ways to improve data reliability, efficiency, and quality.

What skills do you bring?

📍4+ years of professional data engineering experience 📍Experience in building and optimizing large scale data pipelines from ingestion to insights. 📍Advanced working knowledge of Python and SQL. 📍Familiarity with modern data processing tools (DuckDB, polars, ClickHouse). 📍Experience with cloud-based data management technologies (Cloud Storage, BigQuery, ClickHouse Cloud, Kubernetes).

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