Description

• Owning the ingestion and transformation of datasets needed for mission-critical operations like machine learning, renewable energy supply, and battery storage.
• Designing data models and choosing good data persistence strategies around large volumes of energy and weather timeseries data.
• Creating data products using DBT, and building dashboards/visualizations to help us make key business decisions.
• Helping inform our data architecture, and best practices around storing and using data.

What we’re looking for:

• A strong software engineer + data engineer hybrid who has worked on large-scale production data pipelines, and can take ownership of critical datasets.
• Has worked with large-scale data, and makes good choices on data storage and schema design (relational databases, data warehouses, object storage, timeseries data).
• Has worked at a startup or similar environment, and works well with ambiguity and having a lot of scope/responsibility.
• Has strong software engineering skills. Being able to write easy-to-extend and well-tested code.
• Has experience with data processing tools like DBT, spark, kafka, flink, beam, dataflow, etc

Key Skills

Education

Bachelor's degree