AWS Data Engineer – Mid-Level/Senior

🔥 2 minutes 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 clients’ business objectives into information management and business intelligence strategies. • Maintain data pipelines and ensure secure access to information. • Create and expose metrics and dashboards based on the data collected. • Ensure data quality and integrity. • Contribute to data platform modernization initiatives, focusing on Lakehouse architecture, governance, quality, and data preparation for analytics and AI consumption. • Design dimensional models for consumption by business teams, dashboards, and reports. • Manage the complete data lifecycle: ingestion, processing, storage, transformation, consumption, and governance.

🎯 Requirements

• Mid-level/Senior professional working with Data/AWS. • Experience collecting, transforming, and loading data using ETL tools and Python/PySpark. • Knowledge of AWS Glue, EMR, Athena, SNS, Lambda, Step Functions, S3, Lake Formation, IAM, and CloudWatch. • Knowledge of NoSQL modeling and databases, including MongoDB, DynamoDB, and Hadoop. • Knowledge of Lakehouse architecture with Apache Iceberg, including analytical table management, versioning, schema evolution, partitioning, and performance optimization. • Experience with query engines for large-scale data: Athena, Trino, Presto, or Spark SQL. • Ability to optimize queries and work with Parquet and ORC columnar formats. • Knowledge of dimensional modeling: facts and dimensions, 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. • AWS Practitioner and AWS Data Engineer certifications are a plus. • Experience with data quality and observability is a plus. • Experience with Terraform and CloudWatch is a plus. • Knowledge of Data Mesh is a plus. • Knowledge of AI applied to data is a plus.

🏖️ Benefits

• Flexible benefits card – choose how and where to use it. • Scholarships for undergraduate, graduate, MBA, and language courses. • Certification incentive programs. • Flexible working hours. • Competitive salaries. • Annual performance reviews with a structured career development plan. • International career opportunities. • Wellhub and TotalPass. • Private pension plan. • Childcare assistance. • Medical insurance. • Dental insurance. • Life insurance.