Data Engineer

 Build Data Pipelines to ingest data into Snowflake and lead data access on snowflake

• Define and advocate standard processes for AI-led data storage and analysis within Snowflake.

• Review the Data Modeling practices

• Build reporting dashboards and visualizations to design, create, and track campaign/program KPIs

• Drive data warehouse architecture design, modeling and ETL development according to privacy compliance requirements.

• Support other allied architecture and integration activities. Assist in developing documentation around system integration, data flows, data dictionary, user guides and standard processes.

• Experience using tech solutions like Git, Gradle, Airflow, and Kubernetes to craft & deploy apps and jobs on cloud-hosted services
 

Minimum Qualifications

• Bachelors degree or equivalent 4-8 years related experience

• Experience using Python and SQL

• Experience with Building Data Pipelines in Python

• Experience with any Cloud Data Warehouse either as an Administrator or a Developer
 

Preferred Qualifications

• Proficiency in data modeling, data design, SQL, and NoSQL databases

• Proven background in algorithms and data structures

• Experience working with PII and GDPR data

• Proven communication and partnership contribute to multi-functional teams.