Junior/Mid-level Data Engineer
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Job Description
Junior Data Engineer at Vitrio supporting data pipeline maintenance and data quality monitoring. Working with the Data Engineering team on Google Cloud Platform.
Responsibilities:
- Support for Data Pipelines: Assist in the maintenance and development of pipelines that consolidate diverse sources (spreadsheets, analytics platforms, CRM systems, MMPs), helping to make data available as Data Marts for dashboards and stakeholders.
- Data Quality Monitoring: Monitor existing data quality rules, helping to identify, report, and resolve inconsistencies to ensure the reliability of information.
- Maintenance and Performance: Support the team in query optimization and day-to-day troubleshooting.
- Documentation: Assist in creating and updating technical and business documentation for pipelines, models, and data rules.
- Support: Help address requests from the marketing and data intelligence teams, learning to translate business requirements into data solutions.
Requirements:
- Languages: Academic or practical knowledge of Python and/or basic familiarity with R for scripting automation and data manipulation.
- Database Concepts: Proficiency in SQL and a basic understanding of relational databases. Willingness to learn data modeling and cloud architecture.
- Google Cloud Platform (GCP): Theoretical familiarity with or willingness to learn cloud data services (for example, BigQuery).
- Version Control: Basic knowledge of Git for version control (commits, push, pull requests).
Benefits:
- 100% Remote (work from home)
- Internet allowance
- Childcare assistance
- Health insurance
- Company-provided mobile phone
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