Data Engineer

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

📋 Description

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

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

• Optimize and integrate communication between the FICO ecosystem and other organizational data platforms, including data warehouses, data lakes, and business intelligence tools.

• Monitor, diagnose, and resolve pipeline issues, ensuring availability and optimal performance in production environments.

• Document data flows, models, and processes while advocating for engineering best practices and reuse.

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

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

⛳️ Requirements

• Demonstrated experience in data engineering within corporate settings.

• Expertise in the FICO ecosystem, encompassing its models, platforms, and related data integrations.

• Strong capabilities in SQL and data modeling, including both relational and dimensional modeling.

• Experience with data pipelines and orchestration, specifically ETL/ELT processes.

• Proficiency in data-centric programming languages, such as Python.

• Experience with data quality assurance, testing, and pipeline monitoring.

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

• Ability to operate in highly regulated and business-critical environments, emphasizing security and compliance.

• Preferred: Previous experience in sectors utilizing the FICO ecosystem, such as financial services, insurance, credit, and risk analytics.

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

• Preferred: Familiarity with orchestration tools like Airflow and distributed processing frameworks such as Spark.

• Preferred: Experience in integrating APIs and legacy systems.

• Preferred: Background in data governance, data catalogs, and data lineage.

• Preferred: Certifications or additional training in data engineering, cloud technologies, or analytics.

🏝️ Benefits

• Flexible multi-benefit card—you choose how and where to use it.

• Tuition assistance for undergraduate, graduate, MBA, and language courses.

• Certification incentive programs.

• Flexible working hours.

• Competitive salaries.

• Annual performance review with a structured career development plan.

• International career opportunities.

• Wellhub and TotalPass.

• Private pension plan.

• Childcare assistance.

• Health insurance.

• Dental insurance.

• Life insurance.