Senior Data Engineer

🔥 1 hour 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

• 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 information lifecycle. • Develop processes for data ingestion, transformation, and delivery. • Collaborate with software engineering, data analytics, data science, and business teams. • Participate in defining data architectures and evaluating new technologies and tools. • Monitor and optimize data processing workflows in distributed environments. • Support initiatives to modernize and evolve the data platform.

🎯 Requirements

• Extensive experience in Data Engineering within distributed environments. • Extensive experience with Apache Spark. • Advanced knowledge of Scala. • Experience with AWS services, including Glue, S3, EMR, Athena, and Redshift. • Extensive experience with data modeling. • Experience with ETL and ELT processes. • Experience building data pipelines. • Familiarity with relational databases. • Familiarity with NoSQL databases and knowledge of SQL Server. • Experience with batch and streaming data processing. • Knowledge of data quality, security, and governance best practices. • Experience with Git-based version control. • Knowledge of observability and data pipeline monitoring. • Preferred qualifications: experience with Apache Kafka or Amazon MSK; knowledge of legacy system modernization; experience with Delta Lake, Apache Hudi, or Apache Iceberg; familiarity with dbt, Airflow, and Terraform; experience with Lakehouse architectures; experience working in high-volume data environments.

🏖️ Benefits

• Flexible benefits card – choose how and where to use it. • Tuition assistance 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. • Health insurance. • Dental insurance. • Life insurance.