Stefanini LATAM
Stefanini LATAM
Stefanini LATAM is a technology solutions provider focused on digital transformation and business modernization. With more than 30 years of experience, the company helps organizations improve operational models and customer experiences through automation, artificial intelligence, cybersecurity, and data analytics. Its work combines consulting with technology implementation, supporting clients as they identify opportunities to optimize processes, respond to changing market conditions, and pursue sustainable growth.

Data Engineer

Builds ETL pipelines, data models, and data warehouses for Stefanini. Optimizes SQL and automates data integration and quality processes.

Description

  • Design, develop, and maintain ETL processes for extracting, transforming, and loading data.
  • Build and optimize data pipelines that integrate information from multiple sources.
  • Design and maintain data models and data warehouse architectures.
  • Ensure data quality, consistency, and integrity.
  • Automate data monitoring, validation, and loading processes.
  • Optimize SQL query performance and data integration processes.
  • Document processes, data structures, and technical procedures.
  • Work with analysts, data scientists, and business users to understand requirements.
  • Identify improvement opportunities and implement solutions that increase operational efficiency.
  • Promote best practices in development, version control, and quality assurance.
  • Contribute to projects that transform and modernize data platforms.

Requirements

  • At least 3 years of experience in data engineering roles.
  • Advanced proficiency in SQL and T-SQL.
  • Advanced knowledge of Microsoft SQL Server Integration Services (SSIS).
  • Advanced knowledge of data warehouse design and architecture.
  • Experience optimizing queries and ETL processes.
  • Knowledge of dimensional and relational data modeling.
  • Experience with technical documentation and change control.
  • Intermediate Python skills for data processing and automation.
  • Collaboration and teamwork skills.
  • Critical thinking and problem-solving skills.
  • Time management and organizational skills.
  • Adaptability and flexibility.
  • Results orientation.
  • Leadership skills.

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