A hybrid Data & ML role at CI&T. Collaborate effectively with cross-functional team members including software engineers, product managers, and other colleagues
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Original listing text, shown exactly as published by the company.
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Facilitate reliable data movement between systems using batch processing, streaming, or hybrid approaches
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Write clean, maintainable, and well-documented code with appropriate error handling and monitoring
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Develop and implement testing strategies to ensure data accuracy, completeness, and performance
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Troubleshoot and resolve data processing issues with guidance from senior team members when needed
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Contribute to technical documentation that enables knowledge sharing and system understanding
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Collaborate effectively with cross-functional team members including software engineers, product managers, and other colleagues
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Participate actively in agile development processes including sprint planning, daily standups, and retrospectives
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Seek guidance and mentorship from senior team members to accelerate learning and professional development
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Take initiative in expanding technical knowledge through self-directed learning and training opportunities
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Contribute to team knowledge sharing through documentation, presentations, or informal knowledge transfer
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Support onboarding and knowledge transfer for new team members when appropriate
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Build positive working relationships with team members and demonstrate strong teamwork and collaboration skills
Follow established data governance policies and quality assurance procedures for consistent delivery standards
Implement data quality monitoring and validation processes for processed data
Apply security best practices and data privacy considerations in all engineering work
Contribute to continuous improvement initiatives by providing feedback on data processes and suggesting enhancements
Maintain awareness of technical debt in data systems and communicate potential issues to senior team members
Support data release management activities and participate in deployment processes under guidance
Learn and apply industry best practices for data engineering excellence
Execute assigned data engineering tasks within established timelines and quality expectations
Provide accurate estimates for development work and communicate any risks or blockers proactively
Collaborate with team members to resolve technical dependencies and coordinate development efforts
Participate in client demonstrations and technical discussions when appropriate and under guidance
Contribute to project documentation and ensure clear communication of data engineering decisions
Support post-deployment monitoring of data pipelines and resolution of data quality issues
Demonstrate Continuous Learning: Actively pursue technical skill development, seek feedback from senior colleagues, and adapt to new technologies and methodologies
Drive Adaptability & Growth: Execute seamless transitions between different projects and technologies while continuously expanding technical expertise as business needs evolve…
CI&T
Data & ML
244 open roles on Sydicom
CI&T is a Brazilian information technology and software development company.
Source: Wikipedia
