Google Cloud Data Engineer USA
Google Cloud Data Engineer USA
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Job Description
We are looking for an experienced Data Engineer to join our team! This role focuses on implementing data ingestion and pipeline processes using Google Cloud Platform (GCP) technologies and industry-standard best practices.
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.
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.
Years of Experience: 5 years of professional experience
Must Have:
- Google Pub/Sub
- BigQuery
- Google Dataform
- Data ingestion to Big Query experience
- Google Cloud Storage
- Cloud Composer
- GitHub
- SQL
- Software SDLC
- Advanced EnglishGood to Have:
- DBMS connectivity and interaction experience (SQL Server DB2 Oracle)
- Experience calling RESTful APIs and SOAP Webservices
- Experience integrating with other Google resources databases and services
- BigQuery Query Optimization
- Jira
- Confluence
- Dataflow
- Terraform
- Python
- Agile
- CI/CD toolWork Model:
- Remote (work from home)
- EST working hours
- On Call Rotation: covers Production Support every 46 weeks for one full week (depending on staffing availability)
Employment Type
Full Time
