3 years exp in Data engineering.

40 hours/week

Duration: 1 year +

Location: US Based, PDT hours

2 technical interviews

Job Description 

For this role, we’re looking for a data engineer to join the Creator Analytics team:

Responsibilities

Build ETL pipelines between our Salesforce instance and our data warehouse

Maintain a high level of trust in these data sets: keep existing data sources fresh against changing requirements, definitions, and data quality issues. 

Improve reliability and performance: Conduct unit, integration, and system tests on our data sources in order to validate data against source systems, and continuously optimize performance in order to improve query speed and reduce cost.

Improve data discovery and literacy: Create documentation on data relationships and dependencies

Requirements

3+ years of experience in data engineering

Strong proficiency in using one of the script languages, such as Python

Strong proficiency in SQL 

Familiarity with AWS services such as Redshift and S3

Experience using cloud services to automate the data pipelines

Experience with building data warehouses and dimensional modeling

Experience with best practices for development including query optimization, version control, code reviews, and documentation

Experience with Salesforce backends

Fluency with a Git/GitHub version control workflow 

Good to have: experience with Tableau

All your information will be kept confidential according to EEO guidelines.