Senior Data Engineer – AWS

🔥 1 hour 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.

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

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 the data collected, ensuring data quality and integrity. • Contribute to data platform modernization initiatives, focusing on Lakehouse architecture, governance, quality, and preparing data for analytics and AI consumption. • Develop dimensional models for use by business teams, dashboards, and reports. • Manage the complete data lifecycle: ingestion, processing, storage, transformation, consumption, and governance.

🎯 Requirements

• Senior-level professional specializing in Data/AWS. • Experience with data extraction, transformation, and loading using Python/PySpark ETL tools. • 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-scale data: Athena, Trino, Presto, or Spark SQL, with the ability to optimize queries and work with columnar formats such as Parquet and ORC. • Dimensional modeling (fact and dimension tables, granularity, keys, hierarchies, metrics, and KPIs). • Experience working with structured, semi-structured, and unstructured data. • Execution of unit and performance tests. • Best practices in cloud security, access control, and monitoring. • AWS Certified Cloud Practitioner and AWS Certified Data Engineer certifications. • Experience with data quality and observability. • Experience with infrastructure-as-code tools (Terraform, CloudWatch). • Knowledge of Data Mesh. • Knowledge of AI applied to data.

🏖️ Benefits

• Multi-benefit card – choose how and where to use it. • Educational grants 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.