Engineering and Quality - Data Engineer

Fitch Group is seeking a Data Engineer to implement modern scalable data solutions aligned with business priorities and partner with the CDO team to implement an AWS-based data platform. The ideal candidate has 3-5 years of experience in data engineering, AWS expertise, and experience with AI/ML and data virtualization solutions.

Requirements

• 3-5 years of experience 'hands-on' as a member of a highly technical data-centric software engineers
• Proven AWS expertise (S3, EKS, Lambda, Glue, EMR, Redshift, S3, RDS/Aurora, Valkey/Redis, Step Functions, MSK/Kafka, Event Bridge)
• AWS Certification strongly preferred
• Experience applying AI/ML to boost engineering productivity
• Strong Python for data engineering (Pandas, Spark/PySpark) and API Development (FastAPI or similar)
• Design and build high-performance REST/GraphQL APIs with optimized query patterns, pagination, caching, and schema design
• Build ETL/ELT pipelines for batch and streaming; Kafka/MSK with schemas (Avro/JSON) and delivery semantics
• Optimize performance of object-based and relational datastores
• Design applications with microservices and containerization mindset with 'decoupling' architectural principles
• Caching with Valkey/Redis: TTL strategies, invalidation, key design
• CI/CD and IaC with GitHub, Git/GitHub workflows, ArgoCD
• Security and reliability: IAM, KMS, secrets, VPC networking, observability (OpenTelemetry), SLOs, cost governance
• Ability to solve complex data-driven requirements and triage towards defects and production bugs

Benefits

• Generous global parental leave plan
• Comprehensive healthcare offerings
• Retirement planning and tuition reimbursement programs
• 40% in-office monthly stay connected while keeping flexibility
• Dedicated trainings, leadership development and mentorship programs
• Paid volunteer days, matched funding for donations and ample opportunities to volunteer in your community