— Effortless communication in English
— 3+ years of experience in Data Engineering
— Familiarity with MySQL, Python, and data frameworks
— Experience building ETL pipelines and data warehousing solutions
— Experience with using webhooks and APIs (e.g. retrieving data, making API calls etc.)
— In-depth understanding of best practices and new data warehousing technologies
— Understanding of big data & data analytics fundamentals
— Experience with Pandas framework
— Experience with Apache suite (Kafka, NiFi)
— Experience with real-time data streams
— Flat team with minimum bureaucracy
— Flexible working hours
— 100% remote-friendliness (before, during, and after pandemics)
— Competitive salary
— 24 work days vacation
— Career guidance and professional development activities
You will work closely with the BI and Data Analytics teams, building an efficient data pipeline & warehouse solution from scratch. You should have the capacity for abstract thinking and an eye for how to optimise data structures and database schemas. You will enable the collection of transactional data and its consolidation into a single data store. The end goal is to make different types of data extractable and analysable by the Data Analytics team.
Founded in 2016 by two former Microsoft employees and now backed by the US government, Kasha is a purpose-driven health-tech company improving women’s access to health, hygiene and self-care products and services, especially for low-income consumers in emerging economies. Kasha’s products and services are accessible via a web platform, as well as through an interface available on just any phone, and an agent network. Among other things, Kasha is fighting the stigma surrounding women’s health.