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Data Engineer (Permanent WFH/Morning Shift)

  • Full Time, onsite
  • HGS Offshore Staffing Solutions (HGS OSS)
  • Philippines, Philippines
Salary undisclosed

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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)