Senior Data Analyst

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GFT Technologies

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1987

🔒 Cybersecurity

📋 Compliance

☁️ SaaS

Cybersecurity • Compliance • SaaS

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

• Business Intelligence Strategy: Translate the client's business objectives into effective information management and data intelligence strategies. • Pipeline Engineering (ETL): Organize, collect, transform and process large volumes of data from diverse sources, ensuring the maintenance and evolution of robust pipelines. • Data Visualization Culture: Lead the creation, modeling and presentation of metrics through analytical panels and intelligent dashboards using Amazon QuickSight, ensuring leadership makes decisions based on reliable data. • Security and Governance: Ensure control, integrity, quality and maximum security in access to the data handled. • Squad Collaboration: Actively participate in business refinement and technical development phases, working as part of a team within a continuous delivery culture.

🎯 Requirements

• Proficiency in ETL/ELT: Strong hands-on experience in collection, transformation and loading processes for high-volume data. • AWS Data Platform: Strong expertise with AWS services such as AWS Glue, EMR, Athena, Lambda, Step Functions and SNS. • Programming Languages: Advanced proficiency in Python and PySpark for handling large datasets. • Modeling and NoSQL Databases: Experience designing scalable data models using MongoDB, DynamoDB and the Hadoop ecosystem. • Software Quality: Practical experience executing unit tests and performance tests to validate data pipelines. • Industry Certifications: Active official certifications such as AWS Certified Cloud Practitioner and/or AWS Certified Data Engineer. • Quality and Observability: Experience with Data Quality frameworks and data observability practices. • Infrastructure as Code (IaC): Hands-on knowledge of provisioning with Terraform and monitoring with CloudWatch.

🏖️ Benefits

• Multi-benefit card – you choose how and where to use it. • Scholarships for Undergraduate, Graduate, MBA and language courses. • Certification incentive programs. • Flexible working hours. • Competitive salaries. • Annual performance reviews with a structured career plan. • Opportunity for international career development. • Wellhub and TotalPass. • Private pension. • Childcare allowance. • Health insurance. • Dental insurance. • Life insurance.