Data Engineer, FICO

Job not on LinkedIn

🔥 8 hours ago

🇧🇷 Brazil – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

👻 Ghost score 13%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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GFT Technologies

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1987

💼 Consulting

🛡️ Insurance

🔒 Cybersecurity

Consulting • Insurance • Cybersecurity

GFT Technologies is a leading technology and digital transformation company that specializes in providing advanced solutions for consent management and data privacy compliance. Their flagship product, Cookiebot, enables businesses to automate user consent collection efficiently, ensuring adherence to complex privacy regulations such as GDPR and CCPA. GFT's solutions facilitate seamless integration into existing digital infrastructures, helping over 600,000 customers globally manage user data transparently and securely.

📋 Description

• 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

• 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

• 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.

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