What are the responsibilities and job description for the Senior Data Engineer (Brickman) position at Vinsys Information Technology Inc?
Senior Data Engineer 7 Years of Experience
Core Programming Skills
Data Pipeline Development
Basic Qualification
Additional Skills :
Background Check : No
Drug Screen : No
- We are seeking a highly experienced Senior Data Engineer with 7 years of expertise in designing, building, and optimizing robust data solutions. The ideal candidate must possess top-tier skills in Python, AWS services, API development, and TypeScript, and have significant hands-on experience with anomaly detection systems.
- The candidate should have a proven ability to work at both strategic and tactical levels, from designing data architectures to implementing them in the weeds.
Core Programming Skills
- Expert proficiency in Python, with experience in building data pipelines and back-end systems.
- Solid experience with TypeScript for developing scalable applications.
- Advanced knowledge of SQL for querying and optimizing large datasets.
- DynamoDB, S3, Athena, GlueETL, Lambda, ECS, Glue Data Quality, EventBridge, Redshift Machine Learning, OpenSearch, and RDS.
- Proven expertise in designing fault-tolerant APIs using Swagger/OpenAPI, GraphQL, and RESTful standards.
- Strong understanding of distributed systems, load balancing, and failover strategies.
- Hands-on experience with Prometheus and Grafana for observability and monitoring.
Data Pipeline Development
- Independently design, build, and maintain complex ETL pipelines, ensuring scalability and efficiency for large-scale data processing needs.
- Manage pipeline complexity and orchestration, delivering high-performance data products accessible via APIs for business-critical applications.
- Archive processed data products into data lakes (e.g., AWS S3) for analytics and machine learning use cases.
- Implement advanced anomaly detection systems and data validation techniques, ensuring data integrity and quality.
- Leverage AI/ML methodologies, including Large Language Models (LLMs), to detect and address data inconsistencies.
- Develop and automate robust data quality and validation frameworks.
- Architect and manage resilient APIs using modern patterns, including microservices, RESTful design, and GraphQL.
- Configure API gateways, circuit breakers, and fault-tolerant mechanisms for distributed systems.
- Ensure horizontal and vertical scaling strategies for API-driven data products.
- Implement comprehensive monitoring and observability solutions using Prometheus and Grafana to optimize system reliability.
- Establish proactive alerting systems and ensure real-time system health visibility.
- Collaborate with stakeholders to understand business needs and translate them into scalable, data-driven solutions.
- Continuously research and integrate emerging technologies to enhance data engineering practices.
Basic Qualification
Additional Skills :
Background Check : No
Drug Screen : No
