Data Engineer

🔥 12 hours 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

• Develop and maintain scalable, efficient data pipelines. • Handle data ingestion, transformation, and delivery for analytical consumption. • Work with data architecture in a cloud environment. • Develop data engineering solutions using Databricks. • Use Azure Data Factory to orchestrate pipelines. • Ensure data quality, governance, and performance. • Develop and maintain ETL/ELT processes. • Monitor data integration and processing activities. • Identify and implement performance and efficiency improvements. • Collaborate with Engineering, Analytics, and Business teams to understand requirements. • Translate business requirements into data solutions. • Contribute to the development, enhancement, and support of data solutions for the Tax Reform project. • Contribute to integrating and delivering data for analysis and consumption by the teams involved.

🎯 Requirements

• Professional experience in Data Engineering. • Knowledge of Databricks for data processing and engineering. • Experience with Azure Data Factory for pipeline orchestration. • Knowledge of SQL and data modeling. • Experience with Python or Spark (PySpark). • Experience with cloud environments, preferably Azure. • Knowledge of ETL/ELT practices. • Knowledge of data integration. • Ability to develop and maintain scalable data pipelines. • Knowledge of data quality, governance, and performance practices. • Experience with modern data architectures, such as Data Lake and Lakehouse. • Knowledge of data governance and quality. • Experience working with large volumes of data. • Databricks certifications, such as Databricks Certified Data Engineer Associate/Professional, Databricks Certified Data Analyst Associate, and Databricks Certified Machine Learning Associate/Professional. • Experience in financial, banking, insurance, or accounting projects. • Knowledge of Data Management. • Knowledge of Data Analysis. • Analytical, problem-solving mindset. • Proactive approach to identifying improvements. • Organized, with strong attention to data quality. • Strong communication skills. • Ability to work collaboratively with multidisciplinary teams. • Ability to understand technical and business requirements. • Commitment to quality and delivery. • Ability to work in highly complex environments involving large volumes of data.

🏖️ Benefits

• Multi-benefit card – choose how and where to use it. • Educational grants for undergraduate, postgraduate, 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.