Senior Data Engineer
Tasks
- Adopt new data technologies
- Architect cloud data infrastructure
- Build data pipelines
- Collaborate with data scientists on pipeline code
- Create aggregated metrics for applications
- Define SLAs and alerting policies
- Define build vs buy tradeoffs
- Define data warehouse ingestion architectures
- Define roadmap vs technical initiative tradeoffs
- Design data pipelines
- Detect data anomalies
- Develop data warehousing solutions
- Drive adoption of AI coding agents
- Implement data validation frameworks
- Ingest data from multiple sources
- Lead and mentor data engineering stakeholders
- Maintain RBAC for data governance
- Monitor data quality
- Optimize data pipelines
- Optimize performance and cost of data systems
- Orchestrate batch machine learning pipelines
- Participate in incident management
Perks/Benefits
- 401k matching
- Company-Paid Holidays
- Dental insurance
- Disability insurance
- Employee assistance program
- Employee referral program
- Employee resource groups
- Free counseling sessions
- Free onsite parking
- Life insurance
- Medical insurance
- Onsite gym
- Paid parental leave
- Paid vacation
- Relocation assistance
- Vision insurance
- Wellness days
Skills/Tech-stack
Access Control | Anomaly Detection | Apache Airflow | CI/CD | Cloud Data | Cloud Data Infrastructure | DBT | Data Contracts | Data Infrastructure | Data Privacy | Data Quality | Data Security | Data Validation | Domain-Driven Design | Kafka | Machine Learning | Machine Learning Infrastructure | Message Oriented Middleware | Message-oriented | Microservices | Microsoft Azure | Power BI | Python | RBAC | Real Time | Real-time Data | Role-Based Access | Role-Based Access Control | SQL | Snowflake
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
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