Goldman Sachs（高盛）岗位：The Core Engineering-Compliance, Senior Backend Engineer (Java & ETL Specialist), Vice President, Dallas（The Core Engineering · Software Engineering） Key Responsibilities 1. Backend & Microservices Development • Design, develop, and implement scalable, resilient microservices using Java and Spring Boot.
• Apply domain-driven design (DDD) principles to ensure service isolation and maintainability.
• Optimize application performance for low latency and high throughput. 2. ETL & Data Pipeline Engineering • Architect and maintain complex ETL/ELT workflows utilizing Spring Batch.
• Configure batch components for high-volume data ingestion and intricate transformations.
• Implement advanced batch features, including job partitioning, multi-threaded steps, and custom fault-tolerance policies (skip/retry logic).
3. API Design & Security • Develop and document RESTful APIs that facilitate seamless data exchange between internal systems and external partners.
• Enforce rigorous security standards using Spring Security, OAuth2, and JWT.
• Ensure high availability and reliability of public-facing and internal endpoints. 4. Messaging & Real-Time Streaming • Build event-driven architectures using Kafka or RabbitMQ.
• Implement real-time data triggers and stream processing to support asynchronous system communication.
5. Database Management & Optimization • Demonstrate SQL Mastery by designing efficient schemas and writing complex queries for data analysis.
Perform database performance tuning, indexing strategies, and query optimization to handle large-scale datasets Required Skills & Qualifications • Experience: 7 or more years of professional experience in backend software engineering.
• Java Mastery: Deep understanding of Java (8) and core Spring Framework concepts.
• Spring Ecosystem: Expert-level proficiency in Spring Boot and Spring Batch.
• Data Engineering: Proven track record of building production-grade ETL pipelines.
• Messaging: Hands-on experience with message brokers (Kafka preferred) for distributed systems.
• Database: Advanced knowledge of Relational Databases (PostgreSQL, Oracle, or SQL Server) and complex SQL.
• Security: Solid understanding of API security best practices and web vulnerabilities (OWASP).
• Tools: Familiarity with Docker, Kubernetes, and CI/CD pipelines (Jenkins/GitLab). Preferred Qualifications • Experience with cloud platforms (AWS/Azure/GCP).
• Knowledge of NoSQL databases (MongoDB, Cassandra).
• Familiarity with monitoring tools like Prometheus, Grafana, or ELK Stack.
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