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CI&T

Senior Data Developer

CI&T

Data Developer at CI&T, transforming AI potential into business impact through data initiatives. Collaborating with teams to implement scalable data solutions and mentor others.

Posted 7/20/2026full-timeRemote • 🇧🇷 BrazilSeniorWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in designing and implementing data pipelines and data lake architectures using platforms like Databricks and Snowflake, while ensuring compliance with performance, security, and privacy standards. Proficient in Python for Infrastructure as Code (IaC) and experienced in cloud platforms such as Azure and AWS.

Highest-signal resume keywords
Data Pipeline DevelopmentData Lake Architecture ImplementationPython for Infrastructure as CodeCloud Platforms (Azure/AWS)GDPR Compliance

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Data Pipeline DesignData Lake SolutionsPython ProgrammingInfrastructure as Code (IaC)Data Management SystemsData Validation ProcessesPerformance OptimizationData ModelingData MiningData Production
Soft Skills
Self-ManagementAutonomous Work PrioritizationContinuous LearningMentoring
Tools & Technologies
DatabricksSnowflakeAzure FunctionsAWSPowerBIKafkaEventHubSpark Streaming
Certifications & Qualifications
Cloud Certification (Azure or AWS)
Industry Keywords
GDPR CompliancePerformance TuningSecurity ControlsPrivacy StandardsAgile Methodologies

Tech Stack

Tools & technologies
AWSAzureCloudKafkaPythonSpark

About the role

Key responsibilities & impact
  • Design, build, and test robust data pipelines that support data collection, transformation, and aggregation operations on cloud platforms (Azure/AWS)
  • Develop and maintain Infrastructure as Code (IaC) in Python for data operations, ensuring reproducibility and version control across environments
  • Support, troubleshoot, and resolve issues in existing data pipelines, ensuring minimal disruption to downstream consumers
  • Implement and optimize data lake architectures using modern platforms such as Databricks and Snowflake
  • Design, construct, install, test, and maintain scalable data management systems that meet both business and technical requirements
  • Build and optimize data marts that enable data science analysis and support business intelligence tools
  • Participate actively in data validation processes to ensure data accuracy, completeness, and consistency
  • Implement and enforce non-functional requirements including performance optimization, security controls, privacy standards, and GDPR compliance
  • Recommend and implement improvements to enhance data reliability, quality, and operational efficiency
  • Work closely with cross-functional teams and external vendors to align on technical requirements and delivery timelines
  • Integrate emerging data management and software engineering technologies into existing data structures
  • Develop standardized processes for data mining, data modeling, and data production across projects
  • Mentor and share technical knowledge with junior team members, fostering a culture of continuous learning
  • Document architectural decisions, pipeline designs, and operational procedures to enable team scalability

Requirements

What you’ll need
  • Advanced English proficiency (both written and spoken) — mandatory for daily communication with international stakeholders
  • Previous hands-on experience implementing data lake solutions from scratch using platforms such as Databricks and/or Snowflake
  • Solid experience designing, building, and testing production-grade data pipelines in complex environments
  • Strong proficiency in Python for Infrastructure as Code (IaC) and data engineering tasks, including reading and writing data frames in multiple formats
  • Practical experience with cloud platforms Azure (e.g., Azure Functions) and AWS
  • Deep understanding of non-functional requirements: performance tuning, security, privacy, and GDPR compliance
  • Demonstrated ability to self-manage, prioritize work autonomously, and determine next steps without constant client direction
  • Willingness to continuously learn new technologies and adapt to evolving technical landscapes
  • Nice to Have:
  • Experience with PowerBI for data visualization and reporting
  • Knowledge of unit, integration, and end-to-end (E2E) testing frameworks for data pipelines
  • Cloud certification (Azure or AWS)
  • Experience with real-time data streaming technologies such as Kafka, EventHub, or Spark Streaming
  • Comfort with multiple programming languages and data processing frameworks
  • Previous experience working in agile, cross-functional teams with distributed stakeholders

Benefits

Comp & perks
  • Health and dental insurance
  • Meal and food allowance
  • Childcare assistance
  • Extended paternity leave
  • Partnership with gyms and health and wellness professionals via Wellhub (Gympass) TotalPass;
  • Profit Sharing and Results Participation (PLR);
  • Life insurance
  • Continuous learning platform (CI&T University);
  • Discount club
  • Free online platform dedicated to physical, mental, and overall well-being
  • Pregnancy and responsible parenting course
  • Partnerships with online learning platforms
  • Language learning platform
  • And many more!