Description
About the team
The Product Engineering team designs and implements data strategies and solutions across multiple product domains, including User Growth, Account, Location Based Services, and Notifications. Our Data Engineers work collaboratively in a dynamic environment, where they can directly influence the direction of our products and contribute to the overall success of our company.
In order to enhance collaboration and cross-functional partnerships, among other things, at this time, our organization follows a hybrid work schedule that requires employees to work in the office 3 days a week, or as directed by their manager/department. We regularly review our hybrid work model, and the specific requirements may change at any time.
Responsibilities
- Build and maintain efficient and reliable data pipelines to support business initiatives in the user growth domain
- Drive data warehouse design in accordance to long-term product goals
- Work closely with cross-functional analytics and engineering teams to define and build data metrics and dimensions to drive feature launches and growth strategies
- Establish solid design and best engineering practices from a big data perspectiveMinimum Qualifications
- Bachelor's degree in Computer Science, Statistics, Data Science or related field.
- Experience with performing data analysis, data ingestion and data integration
- Experience in writing, analyzing and debugging SQL queries
Preferred Qualifications
- Experience in Big Data technologies (Hadoop, Hive, Spark, Presto, Kafka, ClickHouse, Flink etc.)
- Experience with modern data warehousing and modeling concepts
Candidates for this position must be legally authorized to work in the United States. This position is not eligible for visa sponsorship or support.
The Product Engineering team designs and implements data strategies and solutions across multiple product domains, including User Growth, Account, Location Based Services, and Notifications. Our Data Engineers work collaboratively in a dynamic environment, where they can directly influence the direction of our products and contribute to the overall success of our company.
In order to enhance collaboration and cross-functional partnerships, among other things, at this time, our organization follows a hybrid work schedule that requires employees to work in the office 3 days a week, or as directed by their manager/department. We regularly review our hybrid work model, and the specific requirements may change at any time.
Responsibilities
- Build and maintain efficient and reliable data pipelines to support business initiatives in the user growth domain
- Drive data warehouse design in accordance to long-term product goals
- Work closely with cross-functional analytics and engineering teams to define and build data metrics and dimensions to drive feature launches and growth strategies
- Establish solid design and best engineering practices from a big data perspectiveMinimum Qualifications
- Bachelor's degree in Computer Science, Statistics, Data Science or related field.
- Experience with performing data analysis, data ingestion and data integration
- Experience in writing, analyzing and debugging SQL queries
Preferred Qualifications
- Experience in Big Data technologies (Hadoop, Hive, Spark, Presto, Kafka, ClickHouse, Flink etc.)
- Experience with modern data warehousing and modeling concepts
Candidates for this position must be legally authorized to work in the United States. This position is not eligible for visa sponsorship or support.
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