Senior Data Engineer
Tasks
- Build and optimize data integration solutions
- Create and maintain logical and physical data models
- Design develop and maintain scalable ETL/ELT pipelines
- Develop complex SQL queries stored procedures and transformations
- Document data flows mappings transformation rules and technical specifications
- Perform data mapping validation reconciliation and quality assurance
- Support cloud based data warehouse and analytics platforms
- Support reporting analytics and business intelligence initiatives
- Translate requirements into scalable data solutions
- Troubleshoot and resolve data quality performance and integration issues
- Work with AWS Aurora PostgreSQL Amazon Redshift PostgreSQL and Oracle
Perks/Benefits
- Career development opportunities
- Dental insurance
- Life insurance
- Medical insurance
- Paid Holidays
- Paid time off
- Retirement savings plans
- Vision insurance
Skills/Tech-stack
AWS | Amazon Redshift | Aurora PostgreSQL | Data Modeling | Data Pipelines | Data Quality | Data Validation | Data Warehousing | Data integration | ELT | ETL | Financial Services | Oracle | PostgreSQL | Query Optimization | SQL | Tableau
Education
N/A
Roles
Regions
Countries
States
Cities
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