Data Engineer

Develop, construct, test and maintain data architectures
Handle all data related activities such as data parsing, cleansing, quality definitions, pipelining,
storage, maintenance of ETL scripts etc.
Support in building complex queries required by the product teams
Handle data integration, consolidation and reconciliation activities for digital products
Provide governance support to ensure the data is stored and managed as per industry practices
Manage deployment of analytics programs, machine learning and statistical methods
Support data preparation activities for analytics including pipelining, data cleansing and web
scrapping

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.