Data Analyst II

Job not on LinkedIn

🕒 July 7

🇧🇷 Brazil – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

📉 Data Analyst

👻 Ghost score 31%

What it means: how likely this posting is sitting open without active hiring.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

• Organize, collect and process large volumes of data using ETL tools • Translate clients' business objectives into an information management and business intelligence strategy • Maintain data pipelines • Ensure secure access to information • Create and expose metrics and dashboards for collected data • Ensure data quality and integrity • Perform unit tests and performance tests

🎯 Requirements

• Mid/Senior-level professional working with Data/AWS • Experience in data extraction, transformation and loading using ETL tools • Knowledge of AWS: Glue, EMR, Athena, SNS, Lambda and Step Functions • Knowledge of data modeling and NoSQL databases: MongoDB, DynamoDB and Hadoop • Knowledge of Python/PySpark • Experience executing unit tests and performance tests • Preferred: AWS Cloud Practitioner and AWS Data Engineer certifications • Preferred: Experience in data quality and observability • Preferred: Experience with infrastructure-as-code and monitoring tools such as Terraform and CloudWatch • Enjoy working in a team and be collaborative • Strong problem-solving skills • Ability to work independently and manage own time

🏖️ Benefits

• Multi-benefits card – 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 review with a structured career plan • Opportunity for international career • Wellhub and TotalPass • Private pension plan • Childcare assistance • Health insurance • Dental insurance • Life insurance