Content Marketing Specialist at Scaleway (Hybrid, France)
Scaleway
Create SEO-focused B2B content for Scaleway’s sovereign cloud and AI products. Lead demand generation, content performance, and cross-channel distribution.
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GFT Technologies is a technology and digital transformation company working across consulting, insurance, and cybersecurity. Its Cookiebot platform helps organizations collect and manage user consent while supporting compliance with privacy regulations including the GDPR and CCPA. The company’s solutions are designed to integrate with existing digital environments and are used by more than 600,000 customers worldwide to handle personal data with greater transparency and control.
AWS Data Engineer (Mid-Level/Senior) – Remote Brazil
Remote AWS Data Engineer role at GFT Technologies, a global technology and digital services company. Build data pipelines, dimensional models, governance practices, and Lakehouse architecture for analytics and AI.
Description
- Use ETL tools to organize, collect, and process high volumes of data.
- Convert client business goals into information management and business intelligence strategies.
- Operate data pipelines and protect information through secure access controls.
- Develop and publish metrics and dashboards from collected data.
- Maintain data quality and preserve data integrity across processes.
- Support data platform modernization through Lakehouse architecture, governance, quality management, and preparation for analytics and AI use cases.
- Create dimensional models for business teams, dashboards, and reporting.
- Oversee the full data lifecycle, from ingestion and processing through storage, transformation, consumption, and governance.
Requirements
- Mid-level or senior experience in data engineering and AWS.
- Hands-on experience collecting, transforming, and loading data with ETL tools and Python or PySpark.
- Working knowledge of AWS Glue, EMR, Athena, SNS, Lambda, Step Functions, S3, Lake Formation, IAM, and CloudWatch.
- Knowledge of NoSQL data modeling and databases such as MongoDB, DynamoDB, and Hadoop.
- Knowledge of Lakehouse architecture using Apache Iceberg, including analytical table management, versioning, schema evolution, partitioning, and performance tuning.
- Experience with large-scale data query engines such as Athena, Trino, Presto, or Spark SQL.
- Ability to tune queries and work with Parquet and ORC columnar formats.
- Knowledge of dimensional modeling concepts, including facts, dimensions, granularity, keys, hierarchies, metrics, and KPIs.
- Experience handling structured, semi-structured, and unstructured data.
- Experience performing unit and performance testing.
- Knowledge of cloud security practices, access control, and monitoring.
- AWS Practitioner and AWS Data Engineer certifications are advantageous.
- Experience with data quality and observability is advantageous.
- Experience with Terraform and CloudWatch is advantageous.
- Knowledge of Data Mesh is advantageous.
- Knowledge of applying AI to data is advantageous.
Benefits
- Flexible benefits card with choice over how and where funds are used.
- Scholarship support for undergraduate, graduate, MBA, and language studies.
- Programs that encourage and support professional certifications.
- Flexible working hours.
- Competitive compensation.
- Annual performance reviews supported by a structured career development plan.
- Opportunities for international career growth.
- Access to Wellhub and TotalPass.
- Private pension plan.
- Childcare assistance.
- Medical insurance.
- Dental insurance.
- Life insurance.
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