Data Engineer, Mid-level

🔥 1 minute ago

🇧🇷 Brazil – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

👻 Ghost score 10%

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

• Design and model efficient data structures for analytical queries, ensuring performance, scalability and data integrity • Ensure data governance, quality, security and compliance with applicable standards, policies and regulations • Implement and maintain data governance practices to standardize and ensure the reliability of information • Collaborate with stakeholders to understand business needs and translate requirements into technical data solutions • Optimize data pipelines to improve the performance of analytical processes and reporting • Integrate data from various sources, systems, services and APIs to generate insights and support decision-making • Develop, maintain and enhance data engineering workflows and processes using tools and frameworks from the data ecosystem • Perform performance analysis and optimization of database environments

🎯 Requirements

• Advanced experience with Python applied to data solutions • Knowledge of data manipulation and processing libraries such as Pandas • Experience with Apache Airflow for creating and maintaining DAGs • Knowledge of integrating Airflow with dbt-core • Experience with dbt-core for developing and maintaining models and macros • Experience migrating SQL code to dbt • Knowledge of Git and code versioning and deployment practices • Advanced knowledge of SQL Server, including performance tuning, optimization and performance analysis • Operational familiarity with the Medallion architecture • Knowledge of data analysis and business data modeling • Knowledge of data protection, governance and compliance • Experience in projects integrating multiple services and APIs • Experience in corporate data governance initiatives • Experience in large-scale analytical data environments • Knowledge of processes related to risk management, regulatory requirements and data compliance

🏖️ Benefits

• Multi-benefit card – choose how and where to use it • Education grants for undergraduate, postgraduate, MBA and language courses • Certification incentive programs • Flexible working hours • Competitive salaries • Annual performance review with a structured career plan • Opportunity for international career development • Wellhub and TotalPass • Private pension plan • Childcare assistance • Medical insurance • Dental insurance • Life insurance