SOL-1634 Senior Data Engineer

<p>Este es un puesto de trabajo remoto.</p> We are looking for a Senior Data Engineer to design, build and maintain scalable data systems that support analytics and machine learning initiatives. This role operates in a hybrid environment (SaaS and on-premise) and plays a key part in structuring and optimising the data flow across the platform.<br> <br> Responsibilities: <br> <br> Design, develop and maintain scalable ETL/ELT data pipelines using Python<br> Process and integrate data from multiple formats and sources, including JSON, CSV and XML<br> Build and manage data transformations and orchestration flows using DBT and tools such as Airflow, Prefect or Dagster<br> Ensure data governance, quality and security standards are upheld across data systems<br> Extend, maintain and optimise the Elastic Hierarchy data framework<br> Work closely with analytics, machine learning and product teams to deliver reliable, business-ready datasets<br> Support data operations in hybrid environments (SaaS and on-premise)<br> <br> <h3>Requisitos</h3> Requirements / Skills: <br> <br> Undergraduate or postgraduate degree in Computer Science, Data Engineering or a related field<br> Solid experience in Python development<br> Experience with the AWS data ecosystem, including services such as S3, Glue, Lambda, EMR, EC2, Redshift and RDS<br> Practical experience with Snowflake, MongoDB and PostgreSQL<br> Experience with DBT and at least one orchestration tool (Airflow, Prefect or Dagster)<br> Knowledge of data mapping, attribution and reconciliation processes<br> Ability to work in hybrid and on-premise environments<br> High level of English, both written and spoken<br> <br>