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Data Engineer, FICO
GFT Technologies. Design, develop, and operate data pipelines (ETL/ELT) that integrate internal and external sources into the FICO ecosystem.
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in designing and developing data pipelines (ETL/ELT) within the FICO ecosystem, ensuring data quality and governance while collaborating with stakeholders to deliver efficient data solutions. 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 ExperienceFICO Ecosystem ProficiencySQL and Data ModelingETL/ELT Pipeline DevelopmentCloud Environment Knowledge
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data Pipeline DevelopmentETL/ELTSQLData ModelingPython ProgrammingData Quality AssurancePipeline MonitoringData IntegrationData GovernanceData Architecture Improvement
Soft Skills
CollaborationProblem-SolvingCommunication
Tools & Technologies
Data WarehousesData LakesBI ToolsData Storage ToolsData Distribution Tools
Industry Keywords
Regulated EnvironmentsSecurityCompliance
Tech Stack
Tools & technologiesCloudETLPythonSQL
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 (data warehouses, data lakes, and BI tools).
- Monitor, diagnose, and resolve pipeline failures, ensuring availability and performance in production environments.
- Document workflows, data models, and processes, 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, and reliability.
Requirements
What you’ll need- Proven experience in data engineering within corporate environments.
- Proficiency in the FICO ecosystem, including associated models, platforms, and data integrations.
- Strong knowledge of SQL and data modeling, both relational and dimensional.
- Experience with data pipelines and orchestration (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 regulated, business-critical environments, with a focus on security and compliance.
Benefits
Comp & perks- Flexible benefits card – 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.
- Medical insurance.
- Dental insurance.
- Life insurance.