Data Engineer at Angaza

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