Data Engineer (Permanent WFH/Morning Shift)
Main responsibilities of this role include:
Maintain and enhance data pipeline architecture and infrastructure
Assist in the design, development and implementation of Google Cloud solutions.
Identify, design, and implement internal process improvements around data engineering
Design and build large, complex data sets and data models as per business requirements
Leverage and improve data to enable better business decisions
Design, develop, implement and maintain great quality dashboards using Tableau Desktop & Tableau Online
Skills and Qualifications:
3+ years of experience with SQL, data modeling and data pipelines
2+ years of experience with Python for data integration & analysis
Experience with deploying dbt, and best practice for using it
Experience with data integration tools (Fivetran, etc.)
You enjoy turning business requirements into high quality SQL code
Experience with data visualisation: Tableau (preferred), PowerBI, Looker...
Demonstrated experience of working with high volumes of data
Stakeholder management: experience working closely and communicating effectively with technical and non-technical stakeholders
Experience with Cloud Technologies (we use Google Cloud Platform)
Main responsibilities of this role include:
● Maintain and enhance data pipeline architecture and infrastructure
● Assist in the design, development and implementation of Google Cloud solutions.
● Identify, design, and implement internal process improvements around data engineering
● Design and build large, complex data sets and data models as per business requirements
● Leverage and improve data to enable better business decisions
● Design, develop, implement and maintain great quality dashboards using Tableau Desktop & Tableau Online
Skills and Qualifications:
● 3+ years of experience with SQL, data modeling and data pipelines
● 2+ years of experience with Python for data integration & analysis
● Experience with deploying dbt, and best practice for using it
● Experience with data integration tools (Fivetran, etc.)
● You enjoy turning business requirements into high quality SQL code
● Experience with data visualisation: Tableau (preferred), PowerBI, Looker...
● Demonstrated experience of working with high volumes of data
● Stakeholder management: experience working closely and communicating effectively with technical and non-technical stakeholders
● Experience with Cloud Technologies (we use Google Cloud Platform)