Google Cloud Data Engineer

Google Cloud Data Engineer

Position Purpose: Implements simple to complex data ingestion and pipeline processes on Google Cloud Platform using industry-standard best practices. Designs, develops, configures, tests, debugs, and documents these processes based on business requirements and technical architecture specifications. Supports and troubleshoots existing ingestion and pipeline processes and data.

Must have:

• Google Pub/Sub
• BigQuery
• Google Dataform
• Data Fusion
• Data ingestion to Big Query experience
• Google Cloud Storage
• Cloud Composer
• GitHub
• SQL
• Software SDLC

Responsibilities:

• Design and implement Data ingestion and pipeline workflows as per business needs and technical specifications.
• Works independently and collaboratively with team; keeping the project team and leaders in the loop.
• Prepares detailed specifications from which data ingestion and pipeline processes are developed.
• Develops and implements technical solutions by code development and tool configuration.
• Querying databases using SQL (Structured Query Language) to extract relevant data for analysis and troubleshooting of defects/bugs.
• Responsible for the development and execution of testing and implementation plans. Can perform unit, system, integration, and user acceptance testing. Documents results.
• Participates in project planning and development or assumes responsibility for a project of limited scope.
• Provides options for and estimates of possible coding.
• May be responsible for the completion of a phase of a project or small projects depending on complexity.
• Estimates and tracks time required to complete work, for project budgeting and financial tracking.
• Conducts and participates in reviews of solution designs, configurations, and code.
• Provides technical expertise for project and baseline support teams.
• Adheres to security standards to comply in the handling/processing/storing of sensitive data.
• Adheres to development standards and provides development standards recommendations.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.