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This role is pivotal in designing, developing, and maintaining scalable data infrastructure and pipelines that enable our data initiatives to thrive. Working from our CI&T office in Campinas 3x a week is mandatory.\nThe Data Developer will be responsible for implementing and optimizing data architectures, ensuring data quality and reliability, and collaborating closely with analytics and business teams to deliver high-performance data solutions. This position requires strong technical expertise in data engineering, cloud platforms, and modern data stack technologies, combined with the ability to translate business requirements into effective technical solutions.\nResponsibilities:\nData Pipeline Development: Build, optimize, and maintain scalable data pipelines and ETL/ELT processes to support analytics and business intelligence needs.\nData Architecture Implementation: implement data architectures, including data lakes, warehouses, and integration layers that support the organization's data strategy and modernization.\nData Quality & Governance: Implement data quality checks, validation processes, and monitoring systems to ensure data accuracy, consistency, and reliability.\nIntegration & API Development: Develop and maintain integrations between various data sources, third-party tools, and analytics platforms.\nCollaboration: Work closely with Data & Analytics Managers and business stakeholders to understand requirements and deliver technical solutions that enable data-driven decision making.\nPerformance Optimization: Monitor and optimize data pipeline performance, query efficiency, and storage costs to ensure scalable and cost-effective solutions.\nDocumentation: Create and maintain comprehensive technical documentation for data architectures, pipelines, and processes.\nData Security: Implement security best practices and ensure compliance with data privacy regulations across all data systems.\nPowered by AI: Leverage AI tools and automation to enhance data engineering workflows and productivity.\nRequirements:\nExperience with major cloud providers (AWS, Azure or GCP)\nProven experience with Databricks \nGood level of English B2 or above \nStrong experience with data pipeline development, ETL/ELT processes and orchestration\nProficiency with any data warehousing solutions\nExperience with SQL and Python\nExperience with large scale and distributed data process (PySpark)\nUnderstanding of data modeling and database design principles\nAvailability to work in our Campinas office 3x per week (Tue, Wed and Thu)\nNice to Have:\nExperience working with international clients\nExperience with modern data stack tools (dbt, Airflow, Fivetran, Stitch, etc.)\nExperience with streaming data platforms (Kafka, Pub/Sub, Kinesis)\nDatabricks Certification\nCertifications in cloud platforms or data engineering\nExperience with Infrastructure as Code (Terraform, CloudFormation)","description_format":"text","description_chars":3039,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[{"language":"English","level":"Upper-Intermediate (B2)","optional":false}]},"benefits":[],"hiring_locations":[{"name":"Brazil","iso":"BR","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["IT Outsourcing & Dedicated Teams","Custom Software 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