Senior Data Engineer
Tasks
- Architect and manage cloud based data infrastructure
- Build and own data ecosystem for analytics and data science
- Collaborate with stakeholders to deliver actionable solutions
- Define architectures for data ingestion and metrics for production applications
- Design, build, and optimize data pipelines
- Develop and maintain data warehousing solutions
- Implement AI coding agents best practices
- Improve performance efficiency and cost optimization
- Lead mentor and provide technical guidance
- Maintain team standards SLAs and documentation
- Orchestrate batch machine learning pipelines
- Participate in on call rotation and lead incident management
Perks/Benefits
- N/A
Skills/Tech-stack
Airflow | Amazon Kinesis | Amazon SQS | Azure | Azure Event | Azure Event Hubs | BigQuery | CI/CD | DBT | Data Contracts | Databricks | Domain-Driven Design | Event Driven | Event Hubs | Event-driven architecture | Google Pubsub | Kafka | Machine Learning | Microservices | PowerBI | Python | RBAC | Redshift | SQL | Snowflake
Education
Roles
Regions
Countries
States
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