Senior Data Engineer

APPLY, Santiago

What you will do

Work with internal disciplines, vendors, clients and stakeholders to define data requirements and the technology stack for projects.
Audit source systems (CRM and marketing platforms such as Salesforce and Sailthru) and define migration guidelines: what to migrate, in what structure and in what order, for execution by internal or third-party teams.
Translate business requirements into technical specifications including data streams, integrations, transformations, databases and data warehouses.
Design and build transformation layers in dbt on Snowflake, including identity resolution, semantic layer and consumption/reporting layers.
Build and maintain pipelines that activate data in customer engagement platforms (e.g., Braze).
Run discovery audits of digital products (apps, games, web) and produce data foundation recommendations.
Work in git-based workflows with code review, dbt tests and existing CI/CD processes for warehouse objects.
Define the data architecture framework, standards and principles, including modelling, metadata, security and reference data; analyze and optimize existing architectures and models for performance and cost.

APPLY, Santiago

Work with internal disciplines, vendors, clients and stakeholders to define data requirements and the technology stack for projects.
Audit source systems (CRM and marketing platforms such as Salesforce and Sailthru) and define migration guidelines: what to migrate, in what structure and in what order, for execution by internal or third-party teams.
Translate business requirements into technical specifications including data streams, integrations, transformations, databases and data warehouses.
Design and build transformation layers in dbt on Snowflake, including identity resolution, semantic layer and consumption/reporting layers.
Build and maintain pipelines that activate data in customer engagement platforms (e.g., Braze).
Run discovery audits of digital products (apps, games, web) and produce data foundation recommendations.
Work in git-based workflows with code review, dbt tests and existing CI/CD processes for warehouse objects.
Define the data architecture framework, standards and principles, including modelling, metadata, security and reference data; analyze and optimize existing architectures and models for performance and cost.