AWS Data Engineer – Mid/Senior

🕒 5 days ago

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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, translating 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 (dashboards) based on the obtained data, ensuring data quality and integrity. • Work on data platform modernization initiatives, focusing on Lakehouse architecture, governance, quality, and preparing data for analytical and AI consumption. • Design dimensional models for consumption by business teams, dashboards, and reports. • Full lifecycle expertise of data: ingestion, processing, storage, transformation, consumption, and governance.

🎯 Requirements

• Experience in data extraction, transformation, and loading (ETL tools); • Python / PySpark; • AWS Cloud: Glue, EMR, Athena, SNS, Lambda, Step Functions, S3, Lake Formation, IAM, and CloudWatch; • Modeling and NoSQL databases: MongoDB, DynamoDB, and Hadoop; • Lakehouse architecture with Apache Iceberg (analytical table management, versioning, schema evolution, partitioning, and performance optimization); • Query engines for large volumes: Athena, Trino, Presto or Spark SQL, with ability to optimize queries and work with columnar formats (Parquet, ORC); • Dimensional modeling (fact and dimension tables, granularity, keys, hierarchies, metrics, and KPIs); • Experience with structured, semi-structured and unstructured data; • Execution of unit tests and performance tests; • Best practices for security, access control, and cloud monitoring.

🏖️ Benefits

• Multi-benefits card – you choose how and where to use it. • Study grants for undergraduate, postgraduate, MBA and language courses. • Incentive programs for certifications. • Flexible working hours. • Competitive salaries. • Annual performance review with a structured career plan. • Opportunity for international career. • Wellhub and TotalPass. • Private pension. • Daycare allowance. • Health insurance. • Dental insurance. • Life insurance.