Senior Data Engineer

🔥 15 hours ago

🇧🇷 Brazil – Remote

⏰ Full Time

🟠 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

• Build and enhance scalable data platforms to support analytical and strategic initiatives. • Design, build, and maintain scalable, resilient, and high-performance data pipelines. • Work with large volumes of structured and unstructured data. • Ensure data quality, consistency, and governance throughout the entire data lifecycle. • Develop processes for data ingestion, transformation, and delivery. • Collaborate with software engineers, data analysts, data scientists, and business stakeholders. • Participate in defining data architectures and evaluating new technologies and tools. • Monitor and optimize data processing workflows in distributed environments. • Support data platform modernization and evolution initiatives.

🎯 Requirements

• Strong experience in Data Engineering within distributed environments. • Advanced knowledge of Apache Spark and Scala. • Experience with AWS services such as Glue, S3, EMR, Athena, and Redshift. • Knowledge of data modeling, ETL/ELT, and data pipeline development. • Familiarity with relational and NoSQL databases. • Experience with batch and streaming data processing. • Knowledge of data quality, security, and governance best practices. • Experience with code version control using Git. • Preferred: experience with Apache Kafka or Amazon MSK. • Preferred: knowledge of legacy system modernization. • Preferred: experience with Delta Lake, Apache Hudi, or Apache Iceberg. • Preferred: familiarity with DataOps and CI/CD tools for data, such as dbt, Airflow, and Terraform. • Preferred: experience with Lakehouse architectures. • Preferred: experience working with high-volume data environments. • Preferred: knowledge of observability and data pipeline monitoring. • Enjoy working as part of a team and demonstrate a collaborative approach. • Strong problem-solving skills. • Ability to work independently and manage your own time. • Interest in addressing challenging and innovative situations in the technology space.

🏖️ Benefits

• Multi-benefit card – choose how and where to use it. • Education scholarships 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.