Senior Data Engineer – AWS

• 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.

• 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.

• 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.