Senior Data Engineer | Tableau | ETL | Data Warehouse | Hybrid | Haifa
Posted 9 days ago · 0 applicants
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The role in plain words
- 6+ years of Tableau development experience
- 2+ years of ETL and Data Warehouse development
- Strong SQL skills
- Experience with enterprise-scale data architecture
- Experience working with large data volumes
- Experience in large enterprise organizations
- Experience with cloud data platforms
- Knowledge of modern BI and data modeling methodologies
Extracted from the job description · kept up to date automatically
Who this suits
Full job description
Original listing · kept for referenceSiema Tech is recruiting an experienced Data Engineer / BI Developer for a long-term strategic project at Israel Electric Corporation (IEC).
This is a full-time position with employment through Siema Tech, working as an integral part of the Israel Electric Corporation data and analytics team.
Responsibilities
• Design and develop enterprise Data Pipelines.
• Build and optimize ETL processes and Data Warehouses.
• Develop advanced Tableau dashboards and analytics solutions.
• Integrate structured and unstructured data sources.
• Design scalable data models and information architecture.
• Collaborate with business and technical stakeholders.
Requirements
• ✅ 6+ years of Tableau development experience.
• ✅ 2+ years of ETL and Data Warehouse development.
• ✅ Strong SQL skills.
• ✅ Experience with enterprise-scale data architecture.
• ✅ Experience working with large data volumes.
• ✅ Bachelor's degree in Computer Science, Engineering, Mathematics or equivalent experience.
Nice to Have
• Experience in large enterprise organizations.
• Experience with cloud data platforms.
• Knowledge of modern BI and data modeling methodologies.
Position Details
📍 Haifa
🏢 Hybrid work model
💼 Full-time
⚡ Client: Israel Electric Corporation (IEC)
🤝 Employment: Siema Tech
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Questions about this role
- This listing did not state a salary. We only show pay when the employer publishes it.
- 6+ years of Tableau development experience, 2+ years of ETL and Data Warehouse development, Strong SQL skills, Experience with enterprise-scale data architecture, Experience working with large data volumes