Senior Data Engineer – AWS

🔥 0 minutes ago

🇧🇷 Brazil – Remote

⏰ Full Time

🟠 Senior

☁️ Cloud 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 an information management and business intelligence strategy. • Maintain data pipelines and ensure secure access to information. • Create and expose metrics and dashboards based on the collected data, ensuring information quality and integrity. • Contribute to data platform modernization initiatives, focusing on Lakehouse architecture, governance, quality, and data preparation for analytics and AI consumption. • Develop dimensional models for consumption by business teams, dashboards, and reports. • Work across the complete data lifecycle: ingestion, processing, storage, transformation, consumption, and governance.

🎯 Requirements

• Senior-level 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 data volumes: Athena, Trino, Presto, or Spark SQL, with the ability to optimize queries and work with columnar formats such as Parquet and ORC. • Dimensional modeling: facts and dimensions, granularity, keys, hierarchies, metrics, and KPIs. • Experience working with structured, semi-structured, and unstructured data. • Experience executing unit and performance tests. • Knowledge of best practices for cloud security, access control, and monitoring. • AWS Practitioner and AWS Data Engineer certifications are a plus. • Experience with data quality and observability. • Experience with infrastructure-as-code tools such as Terraform and CloudWatch. • Knowledge of Data Mesh. • Knowledge of AI applied to data.

🏖️ Benefits

• Multi-benefit 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.