You should be committed to delivering fast, delivering quality, and possessing a passion for data and the value it can bring. Create and maintain optimal data pipeline architecture. Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc Build the infrastructure required for optimal extraction, transformation, and loading of data from various data sources using Python, SQL and GCP data technologies.

Concept building, case building, and interacting with product teams and business units. Analysis of operational problems and requests for change. Production of technical specifications and estimations of work.

Development of solutions and delivery into production. Generation of documentation to support solutions delivered. Peer reviews of work with other team members.

Requirements Strong programming and architectural experience, ideally in Python or ...