Found Description
Design, build and improve the cloud data pipelines and architectures that give analysts and data scientists trusted, usable data. This is a hands‑on opportunity to strengthen reliability, scale and cost efficiency while turning varied operational data into dependable analytical products.
Profile for success
- Demonstrated delivery of production data pipelines using Google Cloud Platform, BigQuery, Python and SQL.
- Evidence of designing and maintaining ETL processes that transform varied source data into structured analytical datasets.
- Experience building or improving data models, with clear ownership of data quality, validation and lineage.
- Examples of diagnosing and improving pipeline performance, scalability or cost.
- Strong hands‑on exposure to Dataflow, Pub/Sub and Cloud Storage is advantageous.
- Clear communication and collaboration with technical and non-technical data users.
- A relevant degree is preferre...