[Job-31838] Senior Data Analyst (Data Quality & Reporting), Brazil

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. The Data Developer builds the pipelines and ingestion into OneLake for ATL Technology's Foundation Pod, working under the Data Engineer Lead's direction. This role gives the pod the dedicated hands needed to deliver across multiple source systems, Infor, Dynamics, Workday, OneStream, and Fusion PLM, at once, without creating a bottleneck on the Lead. Core Responsibilities: - Build and maintain Azure Data Factory pipelines, ingestion flows, and Bronze layer data contracts under the Data Engineer Lead's direction; - Manage source system integration points: Infor SyteLine, Infor ION, Dynamics CRM, Workday, OneStream, and Fusion PLM; - Ensure pipeline reliability, SLA compliance, and incident response for all ingestion flows; - Apply platform standards and CI/CD practices established by the Core Team's Data Architect; - Support Bronze schema definition and validation; - Support ingestion pipeline architecture design in partnership with the Data Engineer Lead; - Escalate and troubleshoot incidents affecting pipeline reliability. Required Skills: - Azure Data Factory pipeline development experience; - Azure Synapse Analytics experience; - Solid SQL skills; - Experience integrating ERP or CRM source systems into a data pipeline; - Medallion Architecture/Bronze-Silver-Gold Architecture: Familiarity with Bronze-layer data contracts and CI/CD practices for data pipelines; - Advanced English. Nice to Have: - Python experience; - Databricks or Spark experience; - Experience with Infor ION integration specifically; - Familiarity with pipeline monitoring and observability tools. #LI-TO1