Data Engineer
Mission LaneFull Time
Senior (5 to 8 years), Expert & Leadership (9+ years)
Candidates are required to have at least 3 years of experience in data engineering, with demonstrated expertise in Google Cloud Platform (GCP), including BigQuery, Cloud Storage, Dataflow, and Vertex AI. Strong proficiency in Python and SQL is essential, along with experience using DBT and Cloud Composer (Airflow). Familiarity with Terraform for Infrastructure as Code (IaC) is also desired.
As a Data Engineer GCP at SFEIR, you will be responsible for designing and developing robust and scalable data pipelines on GCP, implementing ETL/ELT solutions with DBT on BigQuery, orchestrating data workflows with Cloud Composer, establishing monitoring and observability for data platforms, and participating in the modernization of client data architectures. You will also contribute to the development of data lakes and data warehouses, and potentially work on real-time data solutions with Pub/Sub.
Digital strategy and technology consulting firm
SFEIR helps businesses with their digital transformation by providing specialized consulting services in technology. The company focuses on developing both front-end and back-end applications, offering cloud solutions, and implementing Site Reliability Engineering (SRE), data management, and machine learning. SFEIR operates as a Google Cloud Partner of the Year, which showcases its expertise in cloud services. Unlike many competitors, SFEIR emphasizes a community of developers who engage in continuous learning and knowledge sharing. The company also runs the SFEIR Institute, which offers tailored training programs to ensure clients' teams are proficient in the latest digital tools. The main goal of SFEIR is to make technology easy to use and beneficial for businesses, helping them modernize their operations and achieve their digital transformation objectives.