About the job
Are you seeking a pioneering collective that engages in permanent Test & Learn mode and truly empowers your ambitions? Look no further! At SFEIR, your career path is yours to steer, whether vertical, horizontal, or transverse.
Your Playground
Technology Stack: Google Cloud Platform (including BigQuery, Cloud Storage, Dataflow, Cloud Composer), Python, SQL, DBT.
SFEIR AI: A specialized path to mastering generative AI and agent-based coding.
Community: Join a network of 140 Google Cloud certified professionals, 30 Google Authorized Trainers, and 7 Google Developer Experts.
Your Responsibilities
Design robust, secure, and scalable end-to-end data architectures (Lakehouse, Mesh) on Google Cloud.
Lead the implementation of complex ETL/ELT solutions using DBT on BigQuery and orchestrate workflows via Cloud Composer.
Establish development best practices (CI/CD, testing, Data Quality) and ensure monitoring/observability of platforms.
Mentor junior team members, conduct code reviews, and serve as a technical reference for clients.
Actively participate in modernizing our clients' tech stacks and integrating GenAI services (Vertex AI) into production pipelines.
Your Profile
You have at least 5 years of experience as a Data Engineer.
You possess confirmed professional experience with Google Cloud.
You can critically assess architecture choices and justify your technological decisions in the face of complex business challenges.
You have a mentoring spirit, enjoy sharing knowledge, and are eager to tackle high-level challenges in a rapidly growing environment.
Why Join SFEIR?
Every Sfeirian is supported by an Engineering Manager.
Opportunities for advancement toward roles such as Data Architect, Senior Staff Engineer, or Senior Principal Engineer.
Continuous training with access to Google Cloud Skills Boost and certification opportunities.
