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Lead Data Engineer
4 months ago
We are actively searching for a Lead Data Engineer to join our team on a permanent basis. This role does require onsite work as you will be leading a team that is building a data product that will give insights to investors in the crypto and Web3 industry. In this role, you will be responsible for designing and building cutting-edge data analysis systems, building interactive dashboards and visualizations, analyzing and interpreting data, and collaborating with various teams to identify and resolve data-related issues. ResponsibilitiesBuild and optimize our data pipelines and architectures for ingesting, processing, and storing large volumes of structured and unstructured data from Github.Develop and maintain our robust ETL (Extract, Transform, Load) processes to ensure data integrity and consistency.Collaborate with cross-functional teams to understand data requirements and translate them into efficient data models and schemas.Maintaining our data warehousing solutions, utilizing both traditional and emerging database technologies (e.g., Postgres & Clickhouse).Develop and maintain data processing workflows using programming languages such as Python and Rust.Continuously monitor and optimize data systems for performance, scalability, and reliability.Contribute to the development of data quality assurance processes and tools.Requirements:6+ years of experience as a Data Engineer or in a similar role, working with large-scale data pipelines and architectures.Strong proficiency in Python (rust is a plus)Extensive experience with relational databases (e.g., PostgreSQL, MySQL)Familiarity with emerging and big data technologies and frameworks (e.g., Apache Spark, DuckDb, Clickhouse, Hadoop).Experience with data warehousing solutions (e.g., Snowflake, AWS Redshift, Google BigQuery).Excellent communication and collaboration abilities.Familiarity with Docker and Kubernetes.Bachelor's degree in Computer Science, or a related field
