Maintain and build on our data warehouse and analytics environment.
Design, implement, test, deploy, and maintain stable, secure, and scalable data engineering solutions and pipelines in support of data and analytics projects,
General data manipulation skills : read in data, process and clean it, transform and recode it, merge different data sets together, reformat data between wide and long, etc.
Use APIs to push and pull data from various data systems and platforms.
Comfort with data management techniques and ETL platforms
Strong SQL programming skills
Hands-on experiences GCP Native Services-GCS, GKE, Composer, Cloud Functions,etc
Expert skill in writing Python code for data processing, familiarity with MySQL or other relational databases, and navigating Unix or Linux
Actively working on Serverless ETL with Python experience.
Cloud Datawarehouse- Snowflake (Must) or RDS.
Proficient with Big Query and GCP Data Warehousing tools
At least one Cloud DW project is a must with Snowflake.
Demonstrated ability to partner with peers and leaders using strong written and verbal communication