Data Engineer
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Summary:
The role involves implementing and managing data ingestion and pipeline processes on the Google Cloud Platform. This includes designing, developing, and troubleshooting data workflows while ensuring compliance with technical specifications and business requirements. The position requires collaboration with teams, project management, and testing of technical solutions. Position Info
Title: Data Engineer
Client: LL Bean
Duration: 6 Months Location: FREEPORT, ME 04033 Work Mode: Remote
Responsibilities:
Design and implement data ingestion and pipeline workflows based on business and technical requirements.
Collaborate with project teams and communicate progress and issues.
Develop technical solutions through code development and tool configuration.
Query databases using SQL for analysis and troubleshooting.
Conduct testing (unit, system, integration, user acceptance) and document results.
Estimate time for tasks, participate in project planning, and track financial aspects.
Review designs, configurations, and code for quality and security compliance.
Skills/Qualifications
Required:
- Google Pub/Sub, BigQuery, Google Dataform, Google Cloud Storage
- Data ingestion to BigQuery experience
- Cloud Composer, GitHub, SQL, Software SDLC
Preferred:
- DBMS connectivity (SQL Server, DB2, Oracle), RESTful API, and SOAP Webservices experience
- Experience with Jira, Confluence, Dataflow, Terraform, Python
- Knowledge of Agile methodologies, CI/CD tools, and BigQuery query optimization
Education: 4-year Bachelor's degree
Experience: 3+ years of relevant professional experience