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Data Engineer
Skills
Data EngineeringData IntegrationAirflowCloud AnalyticsData AnalyticsData ArchitectureData Modeling
What the job involves
The main requirements, responsibilities and hiring steps.
Requirements
- Bachelor's degree preferred or equivalent work experience
- 5+ years engineering experience in Data Analytics and Data Integration
- 3+ years experience writing complex SQL queries, stored procedures
- 1+ years hands-on GCP experience in Data Engineering and Cloud Analytics solutions
- Experience with data platforms like GCP (DataProc, Dataflow, BigQuery, Cloud Functions, Airflow) or similar
- Expertise in database design and modeling
- Advanced knowledge of BI Reporting and Data Discovery tools (Alteryx, Tableau, Python) or equivalent
- Experience on large-scale implementation programs preferred
- Familiarity with agile methodologies
- Attention to detail
- Strong written and verbal communication skills
Nice to have
- Attention to detail
- Strong written and verbal communication skills
- Familiarity with agile methodologies
Day to day
- Data Engineering ensures raw data is usable and accessible for the organization.
- Oversee the analytics life-cycle to identify, analyze, and present relevant insights.
- Manage data platforms and implement reporting/business intelligence solutions.
- Apply advanced quantitative modeling.
- Cover data specialties such as acquisition, integration, and provisioning.
Hiring process
- Submit application as soon as possible
- Application window closes 10/25/2024.