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About
Design, build, and maintain data pipelines and data warehouses for analytics and business intelligence Develop ETL ecosystem tools using technologies such as Python, External APIs, Airbyte, Snowflake, dbt, PostgreSQL, MySQL, and Amazon S3 Assist the engineering team with database design, data flows, and the development of best practices and documentation
Required Qualifications
2-5 years of experience as a Data Engineer or Backend Engineer Expert-level understanding of SQL-based database design and usage Proficiency in at least one programming language Professional experience in high-volume ETL systems Experience working with engineering peers, project managers, and business stakeholders
Languages
- English
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