Senior Data & Analytics Specialist

This is a fully remote position, open to applicants in Brazil.

📋 Description

• Develop and sustain Azure Data Factory pipelines, ingestion workflows, and Bronze layer data agreements under the guidance of the Data Engineer Lead.

• Oversee integration points for source systems including Infor SyteLine, Infor ION, Dynamics CRM, Workday, OneStream, and Fusion PLM.

• Guarantee the reliability of pipelines, adherence to SLA requirements, and timely incident response for all ingestion workflows.

• Implement platform standards and CI/CD methodologies as defined by the Data Architect from the Core Team.

• Assist in the definition and validation of Bronze schema.

• Collaborate with the Data Engineer Lead to support the architectural design of ingestion pipelines.

• Identify and resolve incidents that impact pipeline reliability.

⛳️ Requirements

• Proven experience in developing Azure Data Factory pipelines.

• Familiarity with Azure Synapse Analytics.

• Strong SQL proficiency.

• Experience in integrating ERP or CRM source systems into data pipelines.

• Understanding of Medallion Architecture/Bronze-Silver-Gold Architecture.

• Knowledge of Bronze-layer data contracts and CI/CD practices relevant to data pipelines.

• Proficient in English at an advanced level.

🏝️ Benefits

• Health and dental insurance.

• Meal and food allowance.

• Childcare assistance.

• Extended paternity leave.

• Collaboration with gyms and health/wellness professionals through Wellhub (Gympass) TotalPass.

• Profit Sharing and Results Participation (PLR).

• Life insurance.

• Access to a continuous learning platform (CI&T University).

• Discount club.

• Free online resources focused on physical, mental, and overall well-being.

• Courses on pregnancy and responsible parenting.

• Partnerships with online learning platforms.

• Language learning resources.

• Support from a Health and Well-being team, inclusion specialists, and affinity groups.

• Assistance and accommodations for individuals with disabilities throughout the selection process.