System1
Los Angeles
201-500 employees
We use the insights from behavioural science to predict, guide and create effectiveness for marketers.
Prior Listings
- Optimization Analyst
- Senior Experimentation Analyst
- Optimization Analyst
- Lead Data Analyst
- Senior Performance Marketing Analyst, Paid Search
- Growth Marketing Analyst, Lead Gen
- Experimentation Analyst
- Software Engineer, Data
- Senior Product Manager, Data Science
- Software Engineer, Data Ops
- Principal Machine Learning Scientist - Search & Recommendations
- Senior Business Intelligence Analyst
- Senior Manager, Machine Learning Engineering
- Lead Data Scientist
- Principal Research Scientist
- Optimization Analyst
- Senior Data Analyst
- Senior Machine Learning Scientist - Search & Recommendations
- Product Marketing Analyst
- Director of Machine Learning Science - AI Automation & Optimization
Data Engineer, Warehouse
Data Engineer, Warehouse
This job is no longer open
System1 is one of the largest customer acquisition companies in the world whose growth depends heavily on a very talented data engineering team. Our roadmap includes deploying an event driven design for our data collection, migration from Kinesis to Confluent Kafka, deploying stream processing from our Kafka platform and leveraging these improvements in design changes to our data warehouse, and this is where you come in!
We process billions of records a day to support business intelligence, data science and machine learning, traffic quality and analytics and do so relying primarily on Python, SQL and Snowflake. However, we are looking to expand into stream processing using the Kafka Streams API, the streams DSL and ksqlDB. Our primary goals are scalability, reliability, usability and performance.
You will be working in a fast paced environment as part of the team of data engineers, designing and implementing solutions that provide business-critical insights. You will be responsible for design of data warehouse schemas as well as end-to-end design and implementation of fault tolerant and scalable data processing pipelines using a variety of technologies for orchestrating data movement, primarily Snowflake, DBT and Airflow.
The Role You Will Have:
- Design and implement data warehouse schemas to store large data sets that can be easily and efficiently queried and joined together for reporting and analytical purposes.
- Design and develop ETL/ELT pipelines to efficiently move and aggregate data, while optimizing for maximum code and data reuse.
- Collaborate with other team members on improvements to existing systems
- Investigate data anomalies and provide quick resolutions.
- Provide technical support to business users and analysts.
What You Will Bring:
- 3+ years of working experience with large scale data warehouse systemsVery strong knowledge of SQL and data manipulation best practices
- Experience in building efficient and fault tolerant ELT/ETL data pipelines
- Very strong knowledge of working with large scale datasets
- Ability to investigate data discrepancies and find the root cause
- Ability to write test cases for data validation
- Ability to write clear documentation
- Very strong knowledge of data modeling and data warehouse design
- Experience with Snowflake is preferable
- Knowledge of DBT, Jinja scripting and Airflow is a big plus
- Ability to translate business requirements into functional specifications
- Ability to quickly adapt to changes in requirements and to effectively work on geographically diverse cross-functional teams
- Excellent written and verbal communication skills
What We Have to Offer:
- Competitive PTO
- 11 Company Holidays
- Untracked sick time
- 100% covered Medical, Dental, Vision for employees
- 401k w/match
- Paid professional development
- Leadership & growth opportunities
- Virtual company and team building events
- #BI-Remote
- #LI-Remote
This job is no longer open