Data engineer with Java

• Data Pipeline Expertise - Capable of implementing a diverse range of data solutions with significant autonomy, demonstrating the ability to independently build and maintain complex ETL (Extract, Transform, Load) pipelines
• Possesses advanced skills in pipeline complexity management and orchestration, with a proven track record of developing high-performance data products accessible via APIs for critical tier 1 trading applications
• Demonstrates expertise in archiving data products to data lakes for comprehensive analytics purposes
• Data Quality and Advanced Analytics - Robust proficiency in Data Quality, Data Validation, and Anomaly Detection techniques - Experience with AI/ML and Large Language Model (LLM) approaches to data analysis and validation - Ability to implement sophisticated data integrity and verification processes, Technical Skill Requirements:
• Programming and Cloud Technologies - Expert-level skills in: - Python - SQL - AWS Cloud Services: - Cloud Storage - Lambda - ECS - Glue Data Quality - HDMI - Redshift Machine Learning - OpenSearch - RDS
• API and Resilience Technologies - Advanced skills in building resilient API architectures, including: - Microservices design patterns - API gateway configuration - Circuit breaker implementations - Fault tolerance and error handling mechanisms - Expertise in API development and management tools: - Swagger/OpenAPI - Postman - GraphQL - RESTful API design principles
• Proficiency in resilience engineering techniques: - Distributed system design - Load balancing - Failover strategies - Horizontal and vertical scaling approaches - Containerization and orchestration: - Docker - Kubernetes - Helm charts
• Monitoring and observability: - Prometheus - Grafana - ELK Stack (Elasticsearch, Logstash, Kibana) - Distributed tracing with Jaeger or Zipkin Additional Technical Competencies
• Proficient in Apache Flink - Advanced Java programming skills - Proven ability to create and optimize complex data products - Demonstrated Subject Matter Expertise (SME) in data engineering principles ## Professional Attributes
• Capability to work independently through complex data challenges - Robust preference for candidates with prior experience in investment data domain and related technologies
• Key Differentiators - Deep understanding of data engineering best practices - Ability to design scalable, efficient, and resilient data solutions - Proven track record of solving intricate data infrastructure problems with robust API architectures

Pulled from the full job description

• 401(k)
• Health insurance, * Comprehensive Health Coverage: Access quality healthcare benefits to keep you and your family well.
• Future Planning: Enroll in our 401(k) program and invest in your financial security.
• GC Assistance: We support immediate Green Card processing, if required.