Digital Data Engineer I

Advanced level in SQL and Python for data engineering and backend development.
Understanding of popular code development approaches: Test-driven development, Continuous Integration/Continuous Deployment (CI/CD)
Experienced working with AWS services (Lambda, S3, Glue, Redshift etc.) and Cloud Data Warehouse.
Build processes supporting data transformation, data structures, metadata, dependency, and workload management.
Define digital data collection methods and implementations to DWH and customer management platforms.
Experienced with QA testing process to verify data is collected & rendered as expected.
Ability to excel in a fast-paced, cross-functional environment.
Ability to work autonomously.
Excellent written and verbal communication skills.
Proactive problem-solving and critical thinking skills.
Ability to manage time effectively and consistently meet deadlines.

Transform required data conditions into performance code logic
Develop high-performance code in SQL and Python
Develop, automate, and enhance ELT processes for continuous data flow
Create, modify, and deploy code to production via AWS resources including Lambda, S3, Glue, Redshift, etc.
Collaborate with stakeholders on the implementation and development of data requirements
Troubleshoot data anomalies and provide applicable solutions
Build, test, and maintain database pipeline architectures
Create system performance analytics and reporting
Offer customer marketing platform operational and data management assistance

Prior working knowledge of Braze or other Customer Management Platforms preferred
Snowflake Cloud Data Warehouse preferred
Terraform/Bitbucket/Airflow/Jenkins preferred
Looker, Tableau, Power BI preferred
Development and technical implementation via data connectors