GCP Data Engineer w/Dataform - REMOTE

 

We currently have a career opportunity for a GCP Data Engineer w/Dataform.  While our headquarters location is St. Louis, MO, this position is remote and can be based anywhere within the United States and will be working ET zones. 

 

 

Job Overview:

 

The GCP Data Engineer must have a programming background (SQL and Python), in addition to data platform architecture, client presentation, team management and thought leadership skills, specifically with GCP (Google Cloud Platform).

 

You will provide best-fit architectural solutions for one or more projects; you will assist in defining scope and sizing of work; and anchor Proof of Concept developments. You should have experience building and implementing data pipelines in emerging GCP data services like Datastream (CDC), Dataform in addition to BigQuery, Cloud Composer, Data Fusion and Dataflow.

 

Perficient is always looking for the best and brightest talent and we need you! We’re a quickly-growing, global digital consulting leader, and we’re transforming the world’s largest enterprises and biggest brands. You’ll work with the latest technologies, expand your skills, and become a part of our global community of talented, diverse, and knowledgeable colleagues.

• Own and aggressively drive forward specific areas of technology architecture/implementation in the GCP (Google Cloud Platform) arena. 
• Provide deep technical expertise to design and develop data pipelines in GCP Datastream, Dataform, Cloud Composer and BigQuery. Should be able to provide support to the team in code reviews (SQL and Python), bug triage, and data pipeline development when needed.
• Lead projects within engineering. Work with Product Owner/Business Analysts to understand functional requirements and interact with other cross-functional teams to architect, design, develop, test, and release features.
• Develop Proof-of-Concept projects to validate new architectures and solutions.
• Support multiple Agile Scrum teams with planning, scoping and creation of technical solutions for the new product capabilities, through to continuous delivery to production.
• Liaise with offshore team and clients for resolving technical dependencies, issues, and risks.
• Architect, design and implement solutions.
• Demonstrate broad solutions technical leadership, impacting significant technical direction, exerting influence outside of the immediate team and driving change. 

• Minimum 5 years’ experience in the design & implementation of cloud data platform solutions.
• Minimum 3 years’ experience with GCP Data Platform architecture and solution implementation.
• MUST have hands on GCP data platform experience.
• MUST have strong experience with GCP Data Platform services such as BigQuery, Datastream, Dataform and Cloud Composer.
• Experience with SQL previous database experience and BigData experience.
• Strong understanding of data architecture, data integration and data quality
• Strong experience in building and implementing data pipeline templates on DevSecOps platforms like GitHub.
• Experience provisioning cloud infrastructure using Terraform scripts.
• Experience in establishing GCP (Google Cloud Platform) foundational environments
• Experience with a back end scripting language - Java, Node, Python (nice to have)
• Have a solid understanding of delivery methodology and lead teams in the implementation of data pipeline solutions.

Preferred skills and education:

• GCP Professional Data Engineer Cert
• Multi Cloud experience is a plus

The salary range for this position takes into consideration a variety of factors, including but not limited to skill sets, level of experience, applicable office location, training, licensure and certifications, and other business and organizational needs. The new hire salary range displays the minimum and maximum salary targets for this position across all US locations, and the range has not been adjusted for any specific state differentials. It is not typical for a candidate to be hired at or near the top of the range for their role, a