Compliance, Senior Backend Engineer (Java & ETL Specialist), Dallas, Associate

The Goldman Sachs Group Inc
Dallas, United States of America
17 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior

Job location

Dallas, United States of America

Tech stack

Java
Spring Security
Amazon Web Services (AWS)
Data analysis
Application Performance Management
Azure
Big Data
Databases
Continuous Integration
Information Engineering
ETL
Relational Databases
Database Queries
Distributed Systems
Electronic Data Interchange (EDI)
Fault Tolerance
Monitoring of Systems
Spring
PostgreSQL
Message Broker
Microsoft SQL Server
MongoDB
NoSQL
OAuth
Oracle Applications
Open Web Application Security
Query Optimization
RabbitMQ
Prometheus
JSON Web Token
Software Engineering
SQL Databases
Data Streaming
Multithreading
Data Ingestion
System Availability
Grafana
Database Optimization
Spring-boot
Software Security
Backend
Gitlab
Event Driven Architecture
Kubernetes
Low Latency
Cassandra
Real Time Data
Kafka
Api Design
REST
Stream Processing
Domain Driven Design
Data Pipelines
Spring Batch
Docker
ELK
Jenkins
Microservices

Job description

  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.
  1. 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).
  1. 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.
  1. 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.
  1. 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

Requirements

  • Experience: 4-7 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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