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CI&T

Master Data Analyst

CI&T

. Serve as a technical reference in the design and evolution of modern data solutions for the FLOW platform .

Posted 10/6/2026full-timeBrazilMid-LevelSeniorWebsite

Core Competencies

Role fit
Core Competencies

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Demonstrates expertise in Data Engineering, focusing on the design and implementation of scalable data architectures and pipelines. Proficient in applying AI and FinOps principles to enhance data solutions and optimize costs while ensuring data quality and governance.

Highest-signal resume keywords
Data EngineeringSQLPythonSparkCI/CD Practices

ATS Keywords

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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
Data ArchitectureData Pipeline DevelopmentETL/ELT ProcessesRelational Data ModelingDimensional Data ModelingData Quality PracticesData GovernanceObservability PracticesMachine Learning Data SolutionsCloud Environments
Soft Skills
Technical LeadershipCollaborationProblem-SolvingCommunication
Tools & Technologies
DatabricksData LakeData WarehouseLakehouseAI Tools
Certifications & Qualifications
Data CertificationsCloud CertificationsDistributed Processing Certifications
Industry Keywords
FinOpsData IntegrityData SecurityData AvailabilityInternational Projects

Tech Stack

Tools & technologies
CloudETLPythonSparkSQL

About the role

Key responsibilities & impact
  • Serve as a technical reference in the design and evolution of modern data solutions for the FLOW platform
  • Provide technical leadership in the design, implementation, and evolution of data architectures and platforms
  • Design, develop, and maintain scalable, resilient, and high-performance data pipelines
  • Define standards and best practices for Data Lake, Data Warehouse, and Lakehouse solutions
  • Collaborate with different teams to ensure data integrity, quality, security, and availability
  • Implement Data Quality and observability practices across pipelines
  • Develop and enhance CI/CD pipelines for data and ETL/ELT processes
  • Define and implement relational and dimensional data models
  • Implement Data Governance practices, including cataloging, lineage, and access control
  • Document architectures, workflows, processes, and technical decisions
  • Resolve complex technical issues and perform root-cause analyses
  • Apply FinOps principles to monitor and optimize costs
  • Provide technical guidance to the team, contributing to its autonomy and development
  • Use AI to increase productivity and quality throughout the data engineering lifecycle

Requirements

What you’ll need
  • Solid experience in Data Engineering, working in complex, large-scale environments
  • Experience serving as a technical reference, supporting architectural decisions and team development
  • Advanced knowledge of SQL, Python, and Spark
  • Experience with data solutions for Machine Learning, generative AI, or agent-based systems
  • Experience with modern data stacks in cloud environments
  • Experience building data pipelines and ETL/ELT processes
  • Knowledge of data architecture, distributed processing, and integration across different sources
  • Experience with CI/CD practices applied to data solutions
  • Knowledge of relational and dimensional data modeling
  • Ability to evaluate solutions based on scalability, security, performance, cost, and operational sustainability
  • Experience applying AI to the software development and data engineering lifecycle
  • Advanced English proficiency for communication with clients and international teams
  • Degree in Computer Science, Information Technology, Engineering, or a related field
  • Preferred qualifications: experience with multiple cloud providers; Databricks or equivalent platforms; certifications related to data, cloud, or distributed processing; Data Lake, Data Warehouse, and Lakehouse architectures; Data Quality, observability, and data reliability; cataloging, lineage, and governance tools; FinOps; international projects or teams

Benefits

Comp & perks
  • Health and dental insurance
  • Meal and food allowance
  • Childcare assistance
  • Extended parental leave
  • Partnerships with gyms and health and wellness professionals through Wellhub (Gympass) and TotalPass
  • Profit-Sharing and Results Program (PLR)
  • Life insurance
  • Continuous learning platform (CI&T University)
  • Discount club
  • Free online platform dedicated to promoting physical and mental health and well-being
  • Pregnancy and responsible parenting course
  • Partnerships with online course platforms
  • Language learning platform
  • Support and accommodations for people with disabilities throughout the hiring process
  • Dedicated Health and Well-being team, inclusion specialists, and affinity groups