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SaaS Senior Data Engineer Job Angaza

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The Senior Data Engineer will have dual reporting lines with one being to the US based Finance Manager and the other being to the Kenya based Director of Engineering. This position is based out of the Nairobi, Kenya office, which is currently a remote workplace with occasional team in-office days

Business Analytics:

  • Design and develop data models that support the analytics requirements of internal stakeholders
  • Design and develop the tools and processes to enable our employees and customers to develop dashboards for business analytics taking analytics to the next level with the support of AI and other automation tools
  • Build and maintain dashboards using Tableau to support regular business analytics and project-specific data needs of the company
  • Establish strong data governance practices following principles of secure and reliable data management and quality control
  • Explore AI capabilities in the Business Intelligence function

Data Engineering:

  • 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, DBT)
  • 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 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
  • 4+ years of practical experience in a role requiring frequent use of SQL or SQL + Python, and a relevant graduate degree
  • 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)
  • Experience developing in DBT, or a comparable transformation tool
  • Experience with maintaining and managing infrastructure using infrastructure as code tools like Terraform
  • Nice to have: Experience in using new technology like AI or automations to improve the efficiency and effectiveness of data engineering, data analytics & visualization and driving those improvements across a team or organization
  • Strong Git change control practices
  • Possess strong business insight and appreciation of the challenges facing growing businesses
  • Have strong quantitative, problem-solving, and project management skills
  • Have excellent written and verbal communication skills
  • Have a strong attention to detail

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