BI Data Engineering Team Lead at Wasoko

Duties & Responsibilities:

• You write code. This is a hands-on Senior Engineer Role
• You lead and mentor a team of BI Data Engineers and Analytical Engineers
• You provide the direction for the development of our Cloud Data Warehouse and determine the right tools for the right jobs
• You help further develop our Data Warehouse by building analytical data models and data marts
• You build data models that enable our business stakeholders to make better decisions more efficiently with the help of data
• You build robust data pipelines with the help of graphical ETL/ELT tools such as Dataform, Talend or Dbt.
• You create and maintain architecture and systems documentation
• You maintain a data catalog to provide a scalable resource to support self-service and single-source-of-truth analytics
• You are the interface between the Data Team and the IT Team

Requirements:

• 7+ years of experience as a BI Data Engineer, 3+ years of experience as a Team Lead
• You have extensive experience in setting up and managing cloud data warehouses within the GCP environment
• You can identify yourself with our mission to revolutionize access to essential goods and services for communities across Africa and want to make your contribution
• You are excited about the challenges of an e-commerce business such as forecasting demand, optimizing delivery schedules and routing, managing inventory, increasing customer lifetime value, and have ideally gathered first-hand experience in any of these fields
• You have a positive, can-do attitude
• You have extensive knowledge of BI concepts (i.e. ETL/ELT, reverse ETL, dimensional modeling, data warehouse design, self-service BI)
• You have vast experience in database query languages (e.g. SQL), database design and optimizing queries, both in startups/scale-ups and corporate
• Ideally, you have gathered some experience with infrastructure as code software such as Terraform
• Ideally, you have gathered some experience with event streaming and event processing platforms such as Google Dataflow or Apache Kafka