[Job-32524] Mid Level Data Engineer, Brazil
BrazilLovelacePosted
- Category
- Data & analytics
- Level
- Mid-level
- Work arrangement
- Remote, some regions
- Employment
- Full-time
- Hiring in
- Latin America
Job description
At CI&T, we help large enterprises transform the potential of AI into real business impact with AI Deployment, AI-native execution, and tech-integrated business solutions.
With 30 years of experience in technological transformation, we accelerate innovation with expertise in Agentic SDLC, Application modernization, Data & AI, Martech and Business strategy.
We are 8,000 CI&Ters across more than 25 countries, collaborating to build solutions with real impact. AI is already part of how we work, evolve, and innovate every day.
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Power BI Management: Develop, maintain, and optimize Power BI reports, dashboards, semantic models, and data refresh processes.
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SSIS Package Management: Develop, maintain, troubleshoot, and optimize SQL Server Integration Services (SSIS) packages and ETL workflows.
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Data Pipeline Management: Monitor, maintain, and optimize data pipelines to ensure reliable, efficient, and timely data processing.
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Data Warehouse Management: Maintain and enhance data warehouse solutions, ensuring data integrity, consistency, performance, and availability.
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Data Integration: Manage and support integrations between enterprise systems, databases, and external data sources.
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OData Services: Maintain, monitor, and troubleshoot OData endpoints, ensuring efficient data extraction, pagination, and integration with downstream systems.
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Troubleshooting and Performance Optimization: Identify root causes of technical issues, investigate pipeline failures, optimize SQL queries and data processing workflows, and implement corrective actions.
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Monitoring and Operational Support: Monitor scheduled jobs, data refreshes, integrations, and pipeline execution to ensure operational stability and adherence to service-level expectations.
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Data Quality and Integrity: Implement validation mechanisms and resolve data inconsistencies across source systems, integration layers, and data warehouse environments.
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Continuous Improvement: Identify opportunities to improve system reliability, processing performance, maintainability, and operational efficiency.
- English: Advanced english is required.
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