Data Engineer
Tasks
- Automate data workflows
- Build ETL/ELT pipelines
- Create dashboards and reports
- Develop integration patterns
- Implement data quality validation
- Implement scalable data warehouse solutions
- Integrate data from multiple source systems
- Integrate new data sources into warehouse
- Maintain data pipelines
- Monitor and troubleshoot data pipelines
- Optimize data models for analytics
- Perform data lineage and documentation
- Perform data mapping
- Rationalize acquired data models
- Reconcile merged datasets
- Support CI/CD pipeline development
- Support cloud data migrations
- Support data governance metadata documentation
- Support lakehouse frameworks
Perks/Benefits
- Dental insurance
- Disability insurance
- Employee assistance program
- Flexible spending account
- Health insurance
- Health reimbursement arrangement
- Health savings account
- Life insurance
- Paid Holidays
- Paid time off
- Professional development
- Retirement savings (401k)
- Tuition reimbursement
- Vision insurance
- Wellness programs
Skills/Tech-stack
AWS | Azure | CI/CD | Data Governance | Data Lineage | Data Mapping | Data Modeling | Data Quality | Data Warehouse | Data integration | ELT | ETL | Lakehouse | Monitoring | PowerBI | Python | Qlik | Relational databases | SQL | Snowflake Schema | Star Schema | Tableau | Validation
Education
Bachelor of Engineering | Bachelor of Science | Bachelor of Science in Computer Science | Bachelor of Science in Data Engineering | Bachelor of Science in Information Systems
Roles
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