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