Sr. Data Engineer
Tasks
- Collaborate with data scientists and analysts
- Design enterprise data pipelines
- Document pipeline architectures and workflows
- Enforce security and compliance policies
- Evaluate emerging data engineering technologies
- Implement data quality and governance
- Integrate data from internal and external systems
- Optimize ETL/ELT workloads
- Troubleshoot data pipeline failures
Perks/Benefits
- 401k matching
- Dental insurance
- Disability insurance
- Educational growth
- Employee discount program
- Health insurance
- Life insurance
- Paid Holidays
- Paid vacation
- Pension benefits
- Professional growth
Skills/Tech-stack
AWS | Apache Spark | Automated testing | Azure Event | Azure Event Hubs | CI/CD | Cloud platform | Data Governance | Data Lineage | Data Modeling | Delta format | Distributed Systems | ELT | ETL | Event Hubs | Google Cloud | Google Cloud Platform | Infrastructure as Code | Kafka | Lakehouse | Metadata Management | Microsoft Azure | Microsoft Fabric | Power BI | Python | Real Time | Real-time Processing | SQL | Scala | Tableau | Time processing | “as-code”
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
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