Senior Data Engineer - AWS/ETL, DSP data, Flextime

AgileEngine; Pereira; Presencial; COP 120.000.000 - 240.000.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Professional growth

Competitive USD-based compensation

Flextime

Descripción de la vacante

AgileEngine is an Inc. 5000 company that builds award-winning software for Fortune 500 brands and startups across 17+ industries. We are seeking a Senior Data Engineer to lead replacing a third-party ingestion tool with a custom ETL pipeline in our AWS environment.

You will document existing logic, evaluate buy-vs-build options such as Fivetran, and design a standalone pipeline that powers client dashboards while coordinating with data science teams and the Infrastructure Lead.

Formación

• 4+ years in SQL and large-scale data ingestion/pipeline.
• Direct or adjacent experience with digital advertising/DSP data.
• Experience with AWS data services (RDS/Postgres, S3, ECS).
• Ability to contribute to application/back-end work beyond ETL.
• Familiarity with ELT tools like Fivetran.
• Ability to align ingestion output with downstream dashboards.

Responsabilidades

• Document current ingestion logic in the legacy tool (TapClicks).
• Build the ETL pipeline to replace the legacy system within AWS.
• Evaluate buy-vs-build options (e.g., Fivetran) with the Infra Lead.
• Design a standalone owned pipeline to power client dashboards.
• Provide backend support within the AWS environment as needed.
• Coordinate with data science teams to align ingestion with models.

Conocimientos

Strong SQL

ETL pipelines

Data ingestion

DSP data experience

AWS data services

Backend integration

Fivetran evaluation

English (Upper-Interm)

Herramientas

TapClicks

Amazon DSP / Advertising API

AWS ECS/S3/RDS

Fivetran

Descripción del empleo

AgileEngine is an Inc. 5000 company that builds award-winning software for Fortune 500 brands and startups across 17+ industries. We are seeking a Senior Data Engineer to lead replacing a third-party ingestion tool with a custom ETL pipeline in our AWS environment.

You will document existing logic, evaluate buy-vs-build options such as Fivetran, and design a standalone pipeline that powers client dashboards while coordinating with data science teams and the Infrastructure Lead.