Data Engineer

GFT Technologies

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

Posted 11/6/2026full-timeRemote • BrazilMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and developing data pipelines (ETL/ELT) within the FICO ecosystem, ensuring data quality, governance, and integration with various data platforms. Proficient in SQL, data modeling, and cloud environments, with a strong focus on security and compliance in regulated settings.

Highest-signal resume keywords

Data Engineering ExperienceProficiency In SQLETL/ELT Pipeline DevelopmentFICO Ecosystem KnowledgeData Quality And Governance

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data ModelingData Pipeline DevelopmentSQLPythonData Quality TestingData GovernanceData IntegrationData WarehousingData LakesAPI Integration

Soft Skills

CollaborationProblem-SolvingCommunication

Tools & Technologies

AirflowSparkCloud EnvironmentsBI ToolsData Storage Tools

Certifications & Qualifications

Data Engineering CertificationCloud CertificationAnalytics Certification

Industry Keywords

Financial ServicesInsuranceCreditRisk AnalyticsRegulatory Compliance

Tech Stack

Tools & technologies

AirflowCloudETLPythonSparkSQL

About the role

Key responsibilities & impact

Design, develop, and operate data pipelines (ETL/ELT) that integrate internal and external sources into the FICO ecosystem.
Ensure data quality, consistency, and governance throughout the ingestion, transformation, and delivery lifecycle.
Integrate and optimize communication between the FICO ecosystem and the organization’s other data platforms, including data warehouses, data lakes, and BI tools.
Monitor, diagnose, and resolve pipeline failures, ensuring availability and performance in production environments.
Document data flows, data models, and processes while promoting engineering best practices and reuse.
Collaborate with data scientists, analysts, and business stakeholders to translate requirements into efficient data solutions.
Contribute to the evolution of the data architecture by proposing improvements in performance, cost efficiency, and reliability.

Requirements

What you’ll need

Proven experience in data engineering within corporate environments.
Proficiency in the FICO ecosystem, including its models, platforms, and associated data integrations.
Strong knowledge of SQL and data modeling, including relational and dimensional modeling.
Experience with data pipelines and orchestration, including ETL/ELT.
Proficiency in data-focused programming languages, such as Python.
Experience with data quality, testing, and pipeline monitoring.
Knowledge of cloud environments and data storage and distribution tools.
Ability to work in highly regulated and business-critical environments, with a focus on security and compliance.
Preferred: Previous experience in industries that use the FICO ecosystem, such as financial services, insurance, credit, and risk analytics.
Preferred: Knowledge of data warehousing, data lakes, and large-scale data modeling.
Preferred: Familiarity with orchestration tools, such as Airflow, and distributed processing frameworks, such as Spark.
Preferred: Experience integrating APIs and legacy systems.
Preferred: Experience with data governance, data catalogs, and data lineage.
Preferred: Certifications or additional training in data engineering, cloud, or analytics.

Benefits

Comp & perks

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.