Lead Data Engineer
2 weeks 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.
Responsibilities
- Design, develop and deliver data products to production, complying with internal data governance, security and scalability of our system
- Solve technical problems of the highest scope and complexity
- Exert significant influence on the company’s analytical long-range goals and data architecture
- Define and extend our internal standards for style, maintenance, and best practices for a high-scale data platform
- Develop, design, create, modify, and/or test ETL pipelines or systems to support our Machine Learning and Analytics capabilities
- Collect, clean, and analyze data from our taxonomy and developer data.
- Develop and maintain interactive dashboards and visualizations to present key metrics.
- Monitor and track key performance indicators (KPIs) and metrics related to our data labeling, taxonomy management, and analysis processes.
Requirements:
- 7+ years of experience working with data at scale, including data engineering, business intelligence, data science, or related field
- 7+ years experience using Python
- Experience using big data technologies (Snowflake, Airflow, Kubernetes, Docker, Helm, Spark, pySpark)
- Experience with dimensional data modeling and schema design in Data Warehouses
- Bachelor's Degree in Data Science or related Field
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