Senior Data Engineer (Cloud)
Tasks
- Analyze legacy SQL ETL workflows and data models
- Apply infrastructure and automation practices for scalable data workflows
- Build and optimize batch ETL ELT pipelines
- Collaborate with stakeholders to translate requirements into solutions
- Deploy configure and operate managed cloud data services
- Design and maintain analytical data models
- Develop AI assisted automation for data engineering workflows
- Identify technical risks and drive continuous improvements
- Improve data platform reliability performance and cost efficiency
- Maintain data quality accuracy and reliability
- Migrate data workloads from SQL Server to cloud data platform
- Validate migrated data and investigate discrepancies
Perks/Benefits
- Conference reimbursement
- Corporate discounts
- Coworking reimbursement
- Equipment and workspace reimbursement
- Fully remote
- Health support
- Professional recognition program
- Training reimbursement
- Vacation
- Wellness days
- Workplace equipment support
Skills/Tech-stack
BigQuery | CI/CD | Cloud Composer | Cloud IAM | Cloud Networking | Cloud Storage | Data Quality | Data Warehousing | ELT | ETL | GCP | Google Cloud | Google Cloud Storage | Infrastructure as Code | Monitoring | Python | SQL | SQL Server | Serverless computing | Workflow Orchestration | “as-code”
Education
N/A
Roles
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