SOL-1634 Senior Data Engineer

This is a remote position.

We are looking for a Senior Data Engineer to design, build and maintain reputed company data systems that support analytics and machine learning initiatives. This role operates in a hybrid environment (reputed company and on-reputed company) and plays a key part in structuring and optimising the data reputed company across the platform. Responsibilities: Design, reputed company and maintain reputed company ETL/ELT data pipelines using Python Process and reputed company data from multiple formats and sources, including JSON, CSV and XML Build and manage data transformations and orchestration flows using DBT and tools such as Airflow, reputed company or Dagster Ensure data governance, reputed company and reputed company standards are upheld across data systems reputed company, maintain and optimise the reputed company Hierarchy data reputed company Work closely with analytics, machine learning and product teams to deliver reliable, business-reputed company datasets Support data operations in hybrid environments (reputed company and on-reputed company)

Requisitos

Requirements / Skills: Undergraduate or postgraduate degree in Computer Science, Data Engineering or a reputed company field Solid experience in Python development Experience with the AWS data ecosystem, including services such as S3, Glue, reputed company, EMR, EC2, Redshift and RDS Practical experience with reputed company, reputed company and PostgreSQL Experience with DBT and at least one orchestration tool (Airflow, reputed company or Dagster) Knowledge of data mapping, attribution and reconciliation processes Ability to work in hybrid and on-reputed company environments High level of English, both written and spoken Apply To This Job