Data & AI Engineer

Jobtailor; São Paulo; Presencial; BRL 120 000 - 180 000; Tempo integral

Resumo da oferta

Jobtailor is seeking a data engineer to design and maintain scalable data pipelines, transform data for analytics, and support AI initiatives. You will build ingestion, cleansing, and integration processes across multiple sources, leveraging Databricks and Azure Data Factory.

The role includes ML support and dashboarding with Power BI to enable strategic decision-making. You will collaborate with cross-functional teams, ensuring data quality and governance, and explore automation opportunities

Qualificações

• Strong experience in Python for data engineering and data processing.
• Advanced knowledge of SQL for data manipulation, modeling, and query optimization.
• Experience with Databricks for data processing and engineering.
• Hands-on experience with Azure Data Factory for pipeline integration and orchestration.
• Experience in data modeling and building ETL/ELT pipelines.
• Knowledge of Machine Learning and practical AI applications.
• Experience with cloud environments (preferably Microsoft Azure) and version control with Git.
• Experience with Power BI for developing dashboards and KPIs.

Responsabilidades

• Develop and maintain scalable, efficient data pipelines.
• Structure and transform data to support Analytics, AI, and decision-making.
• Build processes for ingestion, cleansing, and integration of data from multiple sources.
• Build solutions using modern cloud-based data engineering platforms.
• Support the development of Machine Learning models and AI-based solutions.
• Develop dashboards and KPIs in Power BI to support decision-making.
• Ensure data quality, governance, and availability.
• Collaborate with cross-functional teams to turn data into strategic insights.
• Identify opportunities for automation and optimization using data and AI.

Conhecimentos

Python

SQL

Databricks

Azure Data Factory

ETL/ELT

Machine Learning Knowledge

Cloud Environments (Azure)

Git

Power BI

Ferramentas

Databricks

Azure Data Factory

Power BI

Git

Microsoft Azure

Descrição da oferta de emprego

• Develop and maintain scalable, efficient data pipelines
• Structure and transform data to support Analytics, AI, and decision-making
• Build processes for ingestion, cleansing, and integration of data from multiple sources
• Build solutions using modern cloud-based data engineering platforms
• Support the development of Machine Learning models and AI-based solutions
• Develop dashboards and KPIs in Power BI to support decision-making
• Ensure data quality, governance, and availability
• Collaborate with cross-functional teams to turn data into strategic insights
• Identify opportunities for automation and optimization using data and AI

Requirements

• Strong experience in Python for data engineering and data processing
• Advanced knowledge of SQL for data manipulation, modeling, and query optimization
• Experience with Databricks for data processing and engineering
• Hands-on experience with Azure Data Factory for pipeline integration and orchestration
• Experience in data modeling and building ETL/ELT pipelines
• Knowledge of Machine Learning and practical AI applications
• Experience with cloud environments (preferably Microsoft Azure) and version control with Git
• Experience with Power BI for developing dashboards and KPIs

Core Competencies

Demonstrates expertise in developing scalable data pipelines and transforming data for analytics and AI applications. Proficient in utilizing cloud-based platforms and tools like Power BI to deliver actionable insights and ensure data quality.

Highest-signal resume keywords

• Python For Data Engineering
• SQL For Data Manipulation
• Databricks For Data Processing
• Azure Data Factory For Pipeline Integration
• Power BI For Dashboard Development

ATS Optimization Keywords

Hard Skills

• Data Pipeline Development
• Data Transformation
• ETL/ELT Pipeline Building
• Data Modeling
• Machine Learning Knowledge

Soft Skills

• Collaboration
• Strategic Insight Generation

Industry Keywords

• Data Quality
• Data Governance
• Automation
• Optimization
• AI Applications

Tools & Technologies

• Power BI
• Azure Data Factory
• Databricks
• Microsoft Azure
• Git