Engineering And Quality - Data Engineer (Monterrey)

Engineering and Quality - Data Engineer

Fitch Group is currently seeking a Data Engineer based out of our Monterrey, Mexico office. As a leading, global financial information services provider, Fitch Group delivers vital credit and risk insights, robust data, and dynamic tools to champion more efficient, transparent financial markets. With over 100 years of experience and colleagues in more than 30 countries, Fitch Group’s culture of credibility, independence, and transparency is embedded throughout its structure, which includes Fitch Ratings, one of the world’s top three credit ratings agencies, and Fitch Solutions, a leading provider of insights, data and analytics.

Our Technology & Data Team is a dynamic department where innovation meets impact. We are driven by investment in cutting‑edge technologies like AI and cloud solutions, and we welcome a diverse range of roles and backgrounds united by a shared passion for leveraging modern technology to drive projects that matter to our organization and clients.

Responsibilities

• Contribute as a member of a high‑performing data engineering team, implementing modern scalable data solutions aligned with business priorities.
• Partner with the CDO team and data product leaders to implement the vision for an AWS‑based data platform that enables enterprise‑wide self‑service, unlocking data for AI, analytics, and innovation.
• Implement architectural decisions and establish best practices for data ingestion, transformation, and distribution frameworks that accelerate time‑to‑insight for data producers and consumers.
• Champion adoption of emerging technologies such as Agentic AI and Generative AI, integrating advanced capabilities into data workflows.
• Ensure operational excellence and reliability by proactively addressing complex data engineering challenges, implementing robust quality controls, and preventing production incidents.

Qualifications

• 3‑5 years of experience as a highly technical, data‑centric software engineer, preferably in financial services, supporting Data Lake houses (e.g., AWS, Databricks, Snowflake), data virtualization solutions (e.g., Starburst), modern data catalogs & data quality capabilities (e.g., Collibra), and Master Data Management (e.g., Informatica).
• Proven AWS expertise – S3, EKS, Lambda, Glue, EMR, Redshift, RDS/Aurora, Valkey/Redis, Step Functions, MSK/Kafka, Event Bridge; AWS Certification strongly preferred.
• Experience applying AI/ML to boost engineering productivity (e.g., GitHub Copilot, Amazon Q).
• Strong Python skills 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 to ensure low‑latency, performant reads at scale.
• 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 using 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.
• Technology solutions and tools including data governance and catalog solutions (e.g., Collibra, Alation), data platform and lakehouse (medallion architecture), data mesh and virtualization tools (e.g., Starburst, Denodo).

What Would Make You Stand Out

• Hands‑on experience building AI agents (e.g., using LangChain or LlamaIndex), implementing RAG over enterprise data, and enforcing robust guardrails through rigorous testing and evaluation.
• Experience with AI connection protocols (e.g., MCP, A2A) that ensure secure, interoperable, observable, and vendor‑agnostic communication with authenticated, auditable messaging and robust error handling.
• Experience forming strong partnerships with stakeholders and product teams; strong interpersonal and collaboration skills.
• Ability to translate technical concepts to non‑technical stakeholders.
• Experience working with agentic AI to automate workflows such as code reviews, test generation, data quality checks, and runbook execution.

Benefits

• Work‑Life Balance First: 40% in‑office monthly stay connected while keeping flexibility.
• A Culture of Learning & Mobility: Dedicated trainings, leadership development and mentorship programs designed to ensure continuous learning.
• Investing in Your Future: Retirement planning and tuition reimbursement programs.
• Promoting Health & Well‑being: Comprehensive healthcare offerings.
• Supportive Parenting Policies: Family‑friendly policies, including a generous parental leave plan.
• Inclusive Work Environment: Collaborative workplace with Employee Resource Groups.
• Dedication to Giving Back: Paid volunteer days, matched funding for donations and community volunteer opportunities.

Equal Opportunity Employment

Fitch is proud to be an Equal Opportunity and Affimerative Action Employer. We evaluate qualified applicants without regard to race, color, national origin, religion, sex, sexual orientation, gender identity, disability, protected veteran status, and other statuses protected by law.

#J-*****-Ljbffr