Lead Analytics Engineer

July 13

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SharkNinja

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Product design and technology company positively impacting people's lives every day in homes around the world.

Consumer Goods • Product Marketing

1001 - 5000

💰 Private Equity Round on 2017-08

Description

• The Lead Analytics Engineer will be responsible for spearheading the development and optimization of our data analytics frameworks and infrastructure. • This role requires a deep understanding of DBT, Snowflake, and advanced SQL, along with expertise in ETL methodologies and orchestration tools such as Airflow and Dagster. • The ideal candidate will also have a working knowledge of Python. • As lead engineer, you will lead the development across one of 3 organization pillars (finance, ops or revenue). • You will partner closely with the leads of each pillar to drive consistency and reusability of warehouse objects.

Requirements

• Proven experience as a Lead Analytics Engineer or similar role, with a strong portfolio of successful data projects. • Expert knowledge of SQL and database management systems, particularly Snowflake. • Extensive experience with ETL methodologies and data modeling. • Proficient in orchestration tools like Airflow and Dagster. • Hands-on experience with GIT for version control. • Programming skills in Python and familiarity with data pipeline development are highly desirable. • Excellent problem-solving skills and the ability to work independently or as part of a team. • Strong communication skills, both verbal and written.

Benefits

• 11 paid holidays • Generous Accrued Time Off increasing with years of service • Generous paid sick time • Annual day of service