Data Engineer

Jobtailor

São Paulo

Presencial

BRL 240 000 - 320 000

Tempo integral

Há 3 dias

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Resumo da oferta

Jobtailor is seeking a Senior Data Engineer in São Paulo to design and evolve scalable data architectures on GCP, build robust ingestion, transformation, and data-serving pipelines, and implement the Medallion Architecture (Bronze, Silver and Gold) across the data stack.

You will ensure data governance, quality, and availability, optimize BigQuery performance and costs, validate GA4 data, troubleshoot tagging issues, and collaborate with Product, BI, and Martech teams in an Agile setting.

Qualificações

Senior Data Engineer with proven GCP expertise.
Strong BigQuery and SQL skills with data warehouse experience.
Experience with dataform and automated data pipelines.
Proficient in Python and data governance practices.
Excellent communication with tech and business teams.
Ability to work independently and in Agile squads.

Responsabilidades

Design and evolve scalable architectures on GCP.
Build robust ingestion, transformation, and data-serving pipelines.
Implement Medallion Architecture (Bronze to Gold).
Ensure data governance, quality, and availability.
Optimize performance and costs in BigQuery.
Automate data engineering processes.
Serve as a technical reference for cross-functional teams.
Participate in Agile ceremonies and support technical decisions.

Conhecimentos

GCP

BigQuery

Dataform

SQL

Python

Data Pipelines

Medallion Architecture

GA4

Tagging Troubleshooting

Data Governance

Analytical Mindset

Problem-Solving

Communication

Independent & Proactive

Collaborative Profile

Ferramentas

Dataform

GA4

Google Tag Manager

Descrição da oferta de emprego

Design and evolve scalable architectures on GCP
Build robust ingestion, transformation, and data-serving pipelines
Implement Medallion Architecture (Bronze, Silver, and Gold layers)
Ensure data governance, quality, and availability
Optimize performance and costs in BigQuery
Assess architectural improvements
Work with data exported from GA4
Validate events, parameters, and digital data collection quality
Troubleshoot tagging issues
Interpret and manipulate complex event structures in BigQuery
Automate Data Engineering processes
Develop internal productivity tools
Create automated data quality monitoring and validation processes
Define naming standards and taxonomy
Maintain technical documentation and ensure pipeline traceability
Serve as a technical reference for Product, BI, and Martech teams
Participate in Agile ceremonies and support technical decisions across the digital data ecosystem

Requirements

Strong experience as a Senior Data Engineer
Knowledge of GCP
Advanced proficiency in BigQuery
Knowledge of Dataform
Advanced SQL
Python
Pipeline development
Medallion Architecture
Digital data and GA4
Tagging troubleshooting and validation
Data governance and quality
Analytical mindset
Strong problem-solving skills
Effective communication with technical and business teams
Proactive approach
Ability to work independently
Collaborative and consultative profile
Nice-to-have qualifications: Martech and Digital Analytics; Google Tag Manager (GTM); DataOps; data observability; experience in insurance companies, banks, or large enterprises; Google Cloud certifications; experience working in Agile squads

Core Competencies

Demonstrates expertise in designing scalable architectures on GCP, implementing Medallion Architecture, and optimizing performance in BigQuery. Proficient in data governance, quality assurance, and developing automated data engineering processes.

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