Senior Data Engineer
Tasks
- Build data pipelines and infrastructure
- Conduct exploratory data analysis
- Design enterprise data warehouse
- Develop data quality frameworks
- Enforce data governance security and regulatory compliance
- Ingest datasets from multiple sources
- Integrate data systems with existing infrastructure
- Maintain documentation for data models and processes
- Monitor and optimize data system performance
- Perform data cleansing normalization enrichment
- Plan and execute data projects
- Provide technical support and training
- Troubleshoot data quality and inconsistencies
Perks/Benefits
- Company-Paid Holidays
- Employer CPF match
- Employer Paid Medical Plan
- Gym reimbursement
- Identity theft protection
- International employee assistance program
- Sick days
- Time off programs
- Wellness programs
Skills/Tech-stack
API Middleware | AWS | Amazon Redshift | Apache Airflow | Azure | Bloomberg | CI/CD | Cloud platform | Data Architecture | Data Governance | Data Modeling | Data Quality | Data Warehousing | Databricks | ETL | FactSet | GDPR | GitLab | Google BigQuery | Google Cloud | Google Cloud Platform | Infrastructure as Code | MSCI | Macrobond | Orchestration | Python | S And P Global | S and P | SOC 2 | SQL | Snowflake | Terraform | “as-code”
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Roles
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