Senior Data Engineer – Marketing Analytics & ELT Pipelines

Aesa (A-Evangelista Sa)

Rosario

Teletrabalho

ARS 181 747 000 - 272 620 000

Tempo integral

Há 7 dias
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Vantagens oferecidas por esta oferta de emprego

Professional growth
Competitive USD pay
Remote and flexible
Fortune 500-scale projects

Resumo da oferta

Aesa (A-Evangelista Sa) seeks a Senior Data Engineer to replace a third-party data ingestion tool with an owned ETL pipeline. The role requires 4+ years of SQL and large-scale data ingestion experience, and strong AWS data services knowledge to operate within our cloud environment.

You will build the ETL pipeline to ingest from the Amazon API and DSP platforms, evaluate ELT tools, and collaborate with data science to align outputs with downstream dashboards.

Qualificações

  • 4+ years of strong SQL and large-scale data ingestion/pipeline experience (batch ETL, orchestration, schema design).
  • Working knowledge of AWS data services (RDS/Postgres, S3, ECS) sufficient to build within an existing cloud environment.
  • Practical experience with Claude Code or similar tools, and agents or MCP in real work.
  • Ability to contribute to application and backend work beyond pure ETL to support broader platform needs.
  • Familiarity with, or ability to quickly evaluate, managed ELT tools (such as Fivetran) against custom builds.
  • Ability to ramp into existing attribution and scoring logic so ingestion output aligns with downstream dashboard needs.

Responsabilidades

  • Document current ingestion logic inside the legacy tool, including sources, endpoints, schemas, and transformation logic.
  • Build the ETL pipeline to replace the legacy system, handling ingestion from the Amazon API, other DSP platforms, and related digital data sources.
  • Evaluate and decide between off-the-shelf solutions (e.g., Fivetran) and owned ETL systems alongside the Infrastructure Lead.
  • Design the pipeline as a standalone, owned system to power client-facing dashboards.
  • Provide flexible engineering support for application and backend work within the AWS environment when directed.
  • Coordinate with data science teams to ensure ingestion output aligns with the attribution and scoring logic of downstream models.

Conhecimentos

SQL
Large-scale data ingestion
ETL pipelines
AWS data services
Claude Code
MCP
Dashboard integration
English (Upper-intermediate)

Ferramentas

AWS (RDS/Postgres)
S3
ECS
Fivetran

Descrição da oferta de emprego

Aesa (A-Evangelista Sa) seeks a Senior Data Engineer to replace a third-party data ingestion tool with an owned ETL pipeline. The role requires 4+ years of SQL and large-scale data ingestion experience, and strong AWS data services knowledge to operate within our cloud environment.

You will build the ETL pipeline to ingest from the Amazon API and DSP platforms, evaluate ELT tools, and collaborate with data science to align outputs with downstream dashboards.

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