IT Solutions Analyst

ZEISS Group

. Design, develop, and implement scalable technology solutions addressing business needs and improving operational efficiency .

Posted 10/13/2026full-timeSão Paulo • BrazilMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in developing scalable technology solutions using Python, SQL, and Cloud platforms, with a strong focus on data engineering, automation, and Artificial Intelligence applications. Proven ability to translate business requirements into efficient technical solutions while ensuring quality and reliability.

Highest-signal resume keywords

Python DevelopmentSQL ProficiencyCloud TechnologiesData EngineeringArtificial Intelligence

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data EngineeringAutomation SolutionsETL ProcessesData PipelinesMachine LearningGenerative AI ApplicationsProcess AutomationAPIsData MigrationIntegration Solutions

Soft Skills

CollaborationProblem-SolvingContinuous Improvement

Tools & Technologies

Power AutomateCloud PlatformsData Processing Workflows

Industry Keywords

Operational EfficiencyBusiness RequirementsTechnical SolutionsEmerging Technologies

Tech Stack

Tools & technologies

CloudETLPythonSQL

About the role

Key responsibilities & impact

Design, develop, and implement scalable technology solutions addressing business needs and improving operational efficiency
Develop data engineering and automation solutions, including ETL processes, data pipelines, integrations, and data processing workflows
Build Artificial Intelligence and Machine Learning applications, including Generative AI applications and integrations with large language models
Integrate Cloud and data platforms
Translate business requirements into scalable, sustainable, and efficient technical solutions
Develop and maintain solutions using Python, SQL, Cloud platforms, and services
Design and implement process automation using Python, Power Automate, APIs, and other relevant technologies
Contribute to data migration, integration, and modernization projects
Identify process improvement and automation opportunities to reduce costs, increase productivity, and reduce manual activities
Collaborate with technical and business stakeholders to define requirements, develop solutions, and monitor implementation results
Ensure solution quality, reliability, and maintainability through continuous improvement, troubleshooting, and optimization
Monitor emerging technologies in Data, Cloud, Artificial Intelligence, and Automation and identify business applications
Support documentation and continuous improvement of technical solutions, processes, and best practices

Requirements

What you’ll need

Strong knowledge of Python, SQL, Cloud technologies, data engineering, automation, Artificial Intelligence, and Machine Learning