Senior Data Engineering Lead
3 days ago
Georgia IT Inc is seeking a highly skilled Data Architect to lead the development of our data engineering capabilities. With a focus on cloud native technologies, this role will be responsible for designing and implementing scalable data pipelines, ensuring seamless data integration, and providing data-driven insights to inform business decisions.
As a key member of our team, you will work closely with cross-functional groups to understand business requirements, design and implement data solutions, and collaborate with engineers to ensure successful deployment. Your expertise in data orchestration, task management, database management, API/webhook implementation, and streaming data processing will be crucial in driving the success of our data initiatives.
Key responsibilities include:
- Data Orchestration: Design, implement, and manage data workflows using Airflow to automate and orchestrate data processing tasks.
- Task Management: Develop and maintain distributed task processing using Celery and ensure robust task queue management with Redis or RabbitMQ.
- Database Management: Design and manage databases using Cosmos DB, MongoDB, and PostgreSQL.
- API and Webhooks: Implement and manage FastAPI webhooks to handle data ingestion and integration tasks.
- Streaming Data: Implement and manage Kafka Streams to handle real-time data processing and streaming requirements.
Required skills and qualifications include:
- Proven experience with Airflow for data orchestration and workflow management.
- Hands-on experience with Celery for task management and Redis or RabbitMQ for messaging.
- Proficiency with Cosmos DB, MongoDB, and PostgreSQL for data storage and management.
- Experience developing and managing webhooks using FastAPI and integrating with Azure Functions.
- Familiarity with Iceberg for data lake management and optimization.
Estimated salary range is between $120,000 - $180,000 annually, depending on experience and qualifications. If you are a motivated and results-driven professional looking to make a significant impact in the field of data engineering, please submit your application.
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