FICO Data Engineer

This is a fully remote position, open to applicants in Brazil.

📋 Description

• Design, develop, and manage data pipelines (ETL/ELT) that integrate both internal and external sources into the FICO ecosystem.

• Ensure the quality, consistency, and governance of data throughout the entire process of ingestion, transformation, and delivery.

• Optimize and integrate communication between the FICO ecosystem and other organizational data platforms, such as data warehouses, data lakes, and BI tools.

• Monitor, diagnose, and resolve pipeline failures to maintain availability and performance in production environments.

• Document data flows, models, and processes while promoting best practices in engineering and reuse.

• Collaborate with data scientists, analysts, and business stakeholders to translate requirements into effective data solutions.

• Contribute to the advancement of data architecture by suggesting enhancements in performance, cost, and reliability.

⛳️ Requirements

• Demonstrated experience in data engineering within corporate settings.

• Expertise in the FICO ecosystem, including associated data models, platforms, and integrations.

• Strong proficiency in SQL and both relational and dimensional data modeling.

• Experience in data pipelines and the orchestration of ETL/ELT processes.

• Proficiency in programming languages focused on data, such as Python.

• Experience with data quality assurance, testing, and monitoring of pipelines.

• Familiarity with cloud environments and tools for data storage and distribution.

• Ability to operate in regulated, high-criticality environments with an emphasis on security and compliance.

• Preferred: experience in financial services, insurance, credit, or risk analysis.

• Preferred: knowledge of data warehousing, data lakes, and large-scale modeling.

• Preferred: familiarity with Airflow and Spark.

• Preferred: experience in integrating APIs and working with legacy systems.

• Preferred: knowledge of governance, data catalogs, and data lineage.

• Preferred: certifications or further training in data engineering, cloud, or analytics.

• Preferred: understanding of NoSQL and MongoDB.

• Ability to work independently and effectively manage personal time.

🏝️ Benefits

• Multi-benefit card – choose how and where to utilize it.

• Scholarships available for undergraduate, postgraduate, MBA, and language courses.

• Certification incentive programs.

• Flexible work hours.

• Competitive salary packages.

• Annual performance evaluations with structured career planning.

• Opportunities for international career advancement.

• Wellhub and TotalPass memberships.

• Private pension plan.

• Childcare support.

• Health insurance coverage.

• Dental insurance plans.

• Life insurance options.

• Ongoing Scaled Learning and a culture that promotes development and growth.