Google Cloud Platform Data Engineer (must have Google Cloud Platform certificate)

Hybrid - 3 days onsite

Google Cloud Platform Data Engineer (must have Google Cloud Platform certificate)

PH and Video

LinkedIn, SSN, DOB

Location: Walnut Creek, CA Needs to go onsite three days a week (T-W-Th)

Open to Phoenix, AZ as well

The Data Engineer will contribute to the full lifecycle of design, development, implementation and maintenance of data warehouse, analytics, and business intelligence platforms to provide company-wide data services in an Agile environment.

Primary Responsibilities

• Design and develop high-quality solutions and processes that delight customers and partners
• Perform data analysis and data mapping between cloud based applications and the data warehouse
• Create and maintain Entity-Relationship Diagrams (logical and physical)
• Deliver solutions that balance investment in technology with business objectives
• Work collaboratively using Scrum and Kanban methodologies to plan and deliver on commitments
• Collaborate with other domain experts, product owners, and management
• Ability to establish rapport with people in and outside of IT
• Explain complex subjects to a diverse audience with a wide variety of technical and business skills
• Think independently and creatively to streamline work and root out inefficiencies
• Coach teammates to achieve performance improvements, increase velocity and quality of output
• Anticipate and remove technical and organizational roadblocks
• Provide advice and recommendations on future use of technology

Essential Skills

• Ability to work with advanced tools and techniques in software development, data analysis, data quality, and business intelligence
• Proficient with full-cycle SDLC (requirements analysis, design, evaluation of technologies, development, release and version control, testing methodologies and deployment management)
• Create and maintain documentation (design documents, release logs, system diagrams)
• Strong planning skills, including mapping out dependencies, milestones, estimates and timelines
• Strong collaboration ability with management, peers, and external teams to accomplish deliverables
• Leadership skills, with conviction and determination in delivery of technical solutions
• Guide translation of architecture, requirements, and designs into high quality production-ready products and services
• Supports local and remote developers, working different shifts and time-zones
• Provide advice and decision-support to peers, analysts, and management team in strategic and tactical decisions
• Perform technical reviews of work product to ensure quality construction
• Contribute to AAA product/service development as needed

Required Experience

• 5+ years database warehousing experience (Oracle/BigQuery)
• 3+ years ETL development experience (Composer/Airflow, Google Data Fusion, SSIS)
• 1+ years of experience using Agile methodologies
• Must have experience in the following Google Cloud Platform technologies: BigQuery, Composer/Airflow, SSIS, Cloud Functions, Dataflow, Cloud DataFusion, Cloud SQL, Memory Store and Cloud Storage
• Collaboration tools (Jira, Confluence)
• Must be a Google Cloud Certified Professional Data Engineer