Data Engineer, Mid-level

Jobtailor; São Paulo; Presencial; BRL 120 000 - 200 000; Tempo integral

Resumo da oferta

Jobtailor in São Paulo is seeking a data-focused engineer to develop and evolve data pipelines for multiple business areas, transforming and optimizing data for analytics and operations.

You will ensure production quality, monitor pipelines, and collaborate with Product Owners in an agile setting, with strong SQL, data modeling and cloud experience.

Qualificações

• Experience with SQL and tools such as Dataform, dbt, Airflow or similar.
• Knowledge of cloud data architecture (GCP, AWS or similar).
• Experience with data modeling (Bronze, Silver and Gold).
• Experience with agile methodologies and complex corporate environments.
• Nice-to-have: Python.
• Experience with Looker or Power BI.
• Experience with Azure or OCI.
• Experience with MuleSoft or Sensedia.
• Experience in the insurance, financial or commercial sectors.

Responsabilidades

• Develop and evolve data pipelines for different business areas.
• Model, transform and optimize data for analytical and operational consumption.
• Ensure maintenance, monitoring and quality of pipelines in production.
• Work on incident resolution and continuous improvements to the data architecture.
• Collaborate with Product Owners and business teams in an agile environment.

Conhecimentos

SQL

Data modeling

Agile methodologies

Python

Ferramentas

Dataform

dbt

Airflow

Looker

Power BI

GCP

AWS

Azure

OCI

MuleSoft

Sensedia

Descrição da oferta de emprego

Responsibilities

• Develop and evolve data pipelines for different business areas.
• Model, transform and optimize data for analytical and operational consumption.
• Ensure maintenance, monitoring and quality of pipelines in production.
• Work on incident resolution and continuous improvements to the data architecture.
• Collaborate with Product Owners and business teams in an agile environment.

Requirements

• Experience with SQL and tools such as Dataform, dbt, Airflow or similar.
• Knowledge of cloud data architecture (GCP, AWS or similar).
• Experience with data modeling (Bronze, Silver and Gold).
• Experience with agile methodologies and complex corporate environments.
• Nice-to-have: Python.
• Experience with Looker or Power BI.
• Experience with Azure or OCI.
• Experience with MuleSoft or Sensedia.
• Experience in the insurance, financial or commercial sectors.