
Data Engineer, Consumer Growth
This role will work closely with Marketing and Consumer Growth teams to develop a detailed understanding of how our customers engage with our products and services, as well as other marketing and promotional channels. Work alongside world-class data science and machine learning teams. Take ownership end-to-end, from defining the data architecture to implementing data models, pipelines, monitoring and quality assurance frameworks. Unify data from multiple data sources using SQL, Python, and other languages to unlock business insights. Manage a portfolio of pipelines and data marts that empower analysts and data scientists across the company. Document new and existing models, solutions, and implementations. Ensure that processed data meets our high quality standards.
5+ years experience working in data engineering, business intelligence, or a similar role
Exposure to and/or development experience with open source frameworks
Experience working with Snowflake, Redshift, PostgreSQL and/or other DBMS platforms
Python
Druid
PySpark
Time Management Skills
Apache PySpark
SQL and optimizing complex queries
Verbal communication
Detail Oriented
written communication
Adaptability
Problem Solving Skills
Result Driven
According to JobzMall, the average salary range for a Data Engineer, Consumer Growth in 116 New Montgomery St, San Francisco, CA 94105, USA is $100,000 - $145,000 per year. This salary range is based on the job and qualifications of the individual, as well as the location and company.
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