Data Scientist, Mid-Level

Jobtailor; São Paulo; Presencial; BRL 180 000 - 280 000; Tempo integral

Resumo da oferta

Jobtailor in São Paulo is seeking a data engineering specialist to develop and integrate data-driven solutions using Python and REST APIs, while leveraging Microsoft Azure cloud services for scalable analytics. You will work on ETL/ELT pipelines, Spark/PySpark processing of large data volumes, and apply machine learning techniques, including Generative AI and LLMs, to support AI initiatives and governance.

Collaborate with cross-functional teams to translate business needs into analytics

Qualificações

• Experience with Python.
• Building and consuming REST APIs.
• Integration with Microsoft Azure cloud services.
• Authentication, management, and use of access keys.
• Apache Spark and PySpark for processing large volumes of data.
• ETL/ELT pipeline development.
• SQL for analyzing and integrating enterprise databases.
• Knowledge of Applied Statistics.
• Development and evaluation of predictive models.
• Machine Learning techniques.
• Familiarity with Large Language Models (LLMs) and Generative AI.
• Use of Git for code version control and team collaboration.
• Knowledge of Data Governance (preferred).
• Responsible AI practices (preferred).
• Basic knowledge of MLOps (preferred).
• Data orchestration (preferred).
• Experience translating business requirements into analytics solutions (preferred).

Conhecimentos

Python

REST APIs

Azure Cloud

Spark

PySpark

Machine Learning

Statistics

Data Governance

MLOps

Generative AI

LLMs

Git

Ferramentas

Git

Descrição da oferta de emprego

• Develop solutions using Python to build and consume REST APIs
• Integrate applications and pipelines with Azure cloud services
• Implement authentication mechanisms and access key management
• Develop and maintain ETL/ELT processes focused on data quality, governance, and traceability
• Process large volumes of data using Apache Spark and PySpark
• Perform data analysis and integration using SQL
• Develop, evaluate, and enhance predictive models and Machine Learning solutions
• Support Artificial Intelligence initiatives, including Generative AI and Large Language Model (LLM) applications
• Collaborate with cross-functional teams to integrate analytics solutions into digital products
• Translate business needs into data-driven solutions

Requirements

• Experience with Python
• Building and consuming REST APIs
• Integration with Microsoft Azure cloud services
• Authentication, management, and use of access keys
• Apache Spark and PySpark for processing large volumes of data
• ETL/ELT pipeline development
• SQL for analyzing and integrating enterprise databases
• Knowledge of Applied Statistics
• Development and evaluation of predictive models
• Machine Learning techniques
• Familiarity with Large Language Models (LLMs) and Generative AI
• Use of Git for code version control and team collaboration
• Preferred: Knowledge of Data Governance
• Preferred: Responsible AI practices
• Preferred: Basic knowledge of MLOps
• Preferred: Data orchestration
• Preferred: Experience translating business requirements into analytics solutions

Core Competencies

Proficient in developing and integrating solutions using Python, REST APIs, and Microsoft Azure cloud services, with a strong focus on data quality and governance through ETL/ELT processes. Experienced in applying Machine Learning techniques and supporting Artificial Intelligence initiatives, including Generative AI and Large Language Models.

Highest-signal resume keywords

• Python Development
• REST API Integration
• Microsoft Azure Cloud Services
• Apache Spark and PySpark
• Machine Learning Techniques

Hard Skills

• Python
• REST APIs
• ETL/ELT Development
• SQL
• Machine Learning
• Applied Statistics
• Data Governance
• Data Orchestration
• MLOps
• Generative AI

Soft Skills

• Collaboration
• Problem-Solving

Industry Keywords

• Data Quality
• Data Governance
• Predictive Models
• Artificial Intelligence
• Large Language Models

Tools & Technologies

• Azure Cloud Services
• Apache Spark
• PySpark
• Git