Ecommerce Data Engineering Lead at Kasha – Kasha Technologies Ltd – NAIROBI, KE

Key Responsibilities
As Kasha’s lead data engineer, you are responsible leading the development of Kasha’s next generation data platform;
Provide our business teams and leadership with the metrics they need to successful run their businesses. You are a great communicator and actively collaborate with stakeholders to provide them continuously with new data insights to accelerate meeting their business goals. You are critical to business success and relentless in providing data insight and ensuring our data availability and free of errors;
Provide business intelligence reports; analyze data to extract relevant business and customer information; visualize data to optimally support business owners in operating their businesses;
Recommend new and better ways of collecting and reporting data about our business and customers;
Provide mechanisms to continuously monitor and improve data quality and accuracy;
Design database reporting schema; aggregate and consolidate data from live database in rollup tables;
Ensure database and data warehouse performance and availability;
Apply machine learning techniques to provide new data insights;

Desired Qualifications
Experience developing and leading data strategies across disciplines and organizations;
Expert in analyzing and visualizing business data;
Expert with SQL based technologies like PostgreSQL and MySQL; PL/SQL or TSQL or PL/PgSql is a plus
Expert in designing and operating relational database systems;
Experience building data warehousing solutions and ETL jobs;
Experience programming Java, R and Python, unit testing and source control (e.g. Git);
Familiarity with Linux environments (Debian), especially Ubuntu;
Experience analyzing data using MS Excel;
Experience with machine learning is a plus;
NoSQL technologies like Cassandra and MongoDB is a plus;
Experience with Hadoop-based technologies like MapReduce, Hive, and Pig is a plus;
Experience with AWS data services are a plus;
Fluency in the English language is a must, written and verbally;
Minimum education of a bachelor’s degree in quantitative field such as statistics, mathematics, operational research, computer science, economics, engineering, or equivalent experience is required;

How to Apply
Please send your CV and cover letter to