We're looking for an experienced Data Engineer to work on our massive data processing pipeline and our new NextGen BI system to help us deliver more insights and scale from our current billion events a day to tens of billions of events.
Responsibilities
Pull data from various data sources and integrate into the ETL process
Integrate Machine Learning models in ETL to deliver insights to Marketing, Product and CRM departments
Optimize workloads to reduce cost and improve performance
Work closely with analysts from Product, Marketing and Data Scientists to deliver insights from over a Billion daily events and over 50 Marketing channels.
Responsibilities
Pull data from various data sources and integrate into the ETL process
Integrate Machine Learning models in ETL to deliver insights to Marketing, Product and CRM departments
Optimize workloads to reduce cost and improve performance
Work closely with analysts from Product, Marketing and Data Scientists to deliver insights from over a Billion daily events and over 50 Marketing channels.
Requirements:
At least 2 years of experience with Python
At least 2 years of experience with Data Engineering
Proficient in SQL
experience in writing ETL Processes
Experience with Google BigQuery/Snowflake/Redshift
Experience with 24/7 production systems and real-time analytics – Advantage.
At least 2 years of experience with Python
At least 2 years of experience with Data Engineering
Proficient in SQL
experience in writing ETL Processes
Experience with Google BigQuery/Snowflake/Redshift
Experience with 24/7 production systems and real-time analytics – Advantage.
This position is open to all candidates.
