ARE YOU PASSIONATE ABOUT LEVERAGING TECHNOLOGY FOR A GREATER GOOD?

Join us as a Data Engineer if you’re eager to make impactful contributions in a field where technology meets sustainability. We’re looking for professionals who are committed to our cause of saving energy and reducing food waste through digital solutions.

BACKGROUND & SKILLS

• Understanding of software engineering principles: scalability, extensibility, readability, testability etc.
• Proficiency in SQL and Python
• Experience in building data products and deploying data pipelines
• Familiarity with Docker, Kubernetes, and Azure Cloud
• Experience with test frameworks like pytest, unittest etc. and data quality frameworks like Great Expectations, Griffin, Tero etc. and writing test automation (unit, integration, end to end, contract tests)
• Experience in any of the Data orchestration tools Mage, Airflow, Dagster etc.
• Familiarity with Stream processing platforms like Kafka, Flink, Benthos or similar would be a plus
• Knowledge of Apache Spark and Iceberg

Given the expanding scope of our projects, the new team member should have Software engineering background with 3 to 5 years’ experience in the data engineering field. You would be responsible for developing data products needed for the new Domain-driven based design of data landscape and help with the Data Lake set up for future ML projects.

Your day-to-day responsibilities will include:

• Developing and optimizing scalable data pipelines and data products.
• Collaborating with other teams to define, design, and ship new features.
• Ensuring great code quality that helps our customers solve real world problems.
• Receiving feedback from our users and making our product even better.