Outcomes
Design and engineer data transformations in our data warehouse to:
Power stakeholder-facing dashboards
Prepare data for reverse ETL to business systems (e.g. pushing results back out to Salesforce)
Allow data science team members to focus on analysis rather than data prep
Support the process of model deployment and development by creating a feature store to feed into these products
Support the infrastructure management and maintenance of Snowflake, the analytics data warehouse
Work on API data ingestion and help manage our ETL services (Hevo, Stitch, Buildkite)
Competencies
Strong SQL skills (Angaza uses Snowflake with DBT in our data stack)
Proficiency creating ETL & analytics products in Python (It would be useful to have experience in: NumPy, Pandas, psycopg2 or other SQL interface, and a visualization library of your choice)
Strong Git change control practices
Possess strong business insight and appreciation of the challenges facing growing businesses
You
Thrive in a cooperative, dynamic environment
Are passionate about developing efficient data structures to support an analytics function
Have strong quantitative, problem-solving, and project management skills
Demonstrate excellent written and verbal communication skills
Pride yourself on attention to detail
Exhibit a strong tendency towards self-management
Exemplify Angaza’s key values: maximizing impact, empathetic, courageous, trustworthy, curious, and collaborative
Recommended Experience
We expect candidates to have at least four-five years of practical experience in a role requiring frequent use of SQL or SQL + Python, or a relevant graduate degree such as a masters in information systems
We also expect candidates to have experience developing in DBT, or a comparable transformation tool
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