Senior Big Data Specialist

Bebeedataengineer; Porto Alegre; Presencial; BRL 120.000 - 180.000; Tempo integral

Resumo da oferta

A leading tech firm in Porto Alegre is seeking a skilled Python data professional to join their analytics team. The role focuses on designing, developing, and maintaining data infrastructure to support AI-driven insights. Candidates should have 3–7+ years of experience in data engineering, strong programming skills in Python, and familiarity with Snowflake as a data warehouse. Responsibilities include building scalable data pipelines and collaborating on machine learning model deployment.

Qualificações

• 3–7+ years of experience as a Data Engineer, Python Engineer, or similar backend/data role.
• Strong experience in developing scalable data pipelines.
• Ability to implement CI/CD for machine learning workflows.

Responsabilidades

• Design, build and maintain scalable data pipelines using Python.
• Architect and manage data workflows ensuring accuracy and scalability.
• Deploy, monitor and tune machine learning models with data scientists.

Conhecimentos

Python

Data engineering frameworks

Snowflake

MLOps practices

APIs

Ferramentas

AWS

GCP

Azure

Descrição da oferta de emprego

We are seeking a highly skilled Python data professional to join our client's growing analytics team. This role involves designing, developing and maintaining large-scale data infrastructure that powers AI-driven insights across the organization.

Key Responsibilities

• Design, build and maintain scalable data pipelines using Python, modern data engineering frameworks and Snowflake as a central data warehouse.
• Architect and manage data workflows ensuring accuracy, scalability and reliability.
• Work closely with data scientists to deploy, monitor and tune machine learning models.
• Develop feature engineering pipelines, preprocessing workflows and model-serving APIs.
• Integrate data from various sources (APIs, databases, cloud storage, streaming platforms).
• Implement MLOps best practices including versioning, CI/CD for ML and automated retraining workflows.
• Optimize data storage, compute usage and performance within Snowflake and cloud-native tools (AWS, GCP or Azure).
• Create and maintain documentation, data catalogs and operational guides.
• Monitor data system performance and recommend improvements.

Qualifications

The ideal candidate has 3–7+ years of experience as a Data Engineer, Python Engineer, or similar backend/data role.