AWS Data Engineer – Mid-Level/Senior

🔥 1 minute 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

• Organize, collect, and process large volumes of data using ETL tools. • Translate the client’s business objectives into an information management and business intelligence strategy. • Maintain data pipelines and ensure secure access to information. • Create and expose metrics and dashboards based on collected data, ensuring quality and integrity. • Contribute to data platform modernization initiatives, focusing on Lakehouse architecture, governance, quality, and preparing data for analytics and AI consumption. • Design dimensional models for use by business teams, dashboards, and reports. • Work across the complete data lifecycle: ingestion, processing, storage, transformation, consumption, and governance.

🎯 Requirements

• Mid-level/Senior professional working with Data and AWS. • Experience collecting, transforming, and loading data using ETL tools. • Python/PySpark. • AWS Cloud: Glue, EMR, Athena, SNS, Lambda, Step Functions, S3, Lake Formation, IAM, and CloudWatch. • NoSQL modeling and databases: MongoDB, DynamoDB, and Hadoop. • Lakehouse architecture with Apache Iceberg, including analytical table management, versioning, schema evolution, partitioning, and performance optimization. • Query engines for large datasets: Athena, Trino, Presto, or Spark SQL, with the ability to optimize queries and work with columnar formats such as Parquet and ORC. • Dimensional modeling, including fact and dimension tables, granularity, keys, hierarchies, metrics, and KPIs. • Experience working with structured, semi-structured, and unstructured data. • Experience conducting unit and performance testing. • Knowledge of security best practices, access control, and cloud monitoring.

🏖️ Benefits

• Multi-benefit 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. • Medical insurance. • Dental insurance. • Life insurance.