Required Profile:
Hands on experience in data engineering projects such as writing SQL queries,, data pipelining,
API provisioning, database optimisation / maintenance etc.
Knowledge of data architecture concepts such as database systems, schemas, data
warehousing etc.
Worked with scalable architectures (lambda, containers etc.)
Able to code in Python, our preferred tech stack
Strong personal/professional interest in the LSM segments (developing countries, low-income
markets, etc) and agriculture in general.
Comfortable working with our tools: AWS, GitLab, Jenkins, Jira, Docker
Aligned with our principles: agile, customer-centric, lean, service-oriented architecture, self-
organization, transparency.