[Job-31563] Senior Data Developer (Databricks), Campinas, Brazil (Hybrid)

Ciandt; Campinas; Presencial; BRL 120 000 - 190 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Health and dental insurance

Meal and food allowance

Childcare assistance

Extended paternity leave

Wellhub / Gympass partnership

Profit Sharing and Results (PLR)

Life insurance

Continuous learning platform

Language learning platform

Other well-being perks

Resumo da oferta

CI&T is seeking a Data Developer in Campinas to design, build, and maintain scalable data infrastructure and pipelines that empower analytics for our international clients. The role emphasizes robust data architectures, data quality, and effective collaboration with analytics teams.

You will work with cloud platforms, modern data stack tools, and AI-driven automation, delivering high-performance data solutions while adhering to security and governance standards.

Qualificações

• Experience with major Cloud Platform providers (Azure, AWS).
• Proven experience with data platforms using Databricks.
• Good level of English (B2 or above).
• Experience with international clients.
• Strong experience with data pipeline development and ETL/ELT processes.
• Proficiency with data warehousing solutions (BigQuery, Snowflake, Redshift, or similar).
• Experience with SQL and at least one programming language (Python, Scala, or Java).
• Understanding of data modeling and database design principles.
• Availability to work in our Campinas office 3x per week (Tue, Wed and Thu).

Responsabilidades

• Data Pipeline Development: Build, optimize, and maintain scalable data pipelines and ETL/ELT processes to support analytics and BI.
• Data Architecture Implementation: Implement data lakes, warehouses, and integration layers aligned to data strategy.
• Data Quality & Governance: Implement checks, validation, and monitoring for data accuracy and reliability.
• Integration & API Development: Develop integrations between data sources, tools, and analytics platforms.
• Collaboration: Work with Data & Analytics Managers and stakeholders to translate requirements into technical solutions.
• Performance Optimization: Monitor and optimize pipeline performance, query efficiency, and storage costs.
• Documentation: Create and maintain documentation for data architectures and pipelines.
• Data Security: Apply security best practices and ensure data privacy compliance across systems.
• Powered by AI: Leverage AI tools to enhance data engineering workflows.

Conhecimentos

Data pipeline development

ETL/ELT processes

Data architecture

SQL

Python

Cloud platforms

Data modeling

Data security

AI tooling

Ferramentas

Databricks

BigQuery

Snowflake

Redshift

Docker

Kubernetes

Airflow

Descrição da oferta de emprego

At CI&T, we help large enterprises transform the potential of AI into real business impact with AI Deployment, AI-native execution, and tech-integrated business solutions.

With 30 years of experience in technological transformation, we accelerate innovation with expertise in Agentic SDLC, Application modernization, Data & AI, Martech and Business strategy.

We are 8,000 CI&Ters across more than 25 countries, collaborating to build solutions with real impact. AI is already part of how we work, evolve, and innovate every day.

As CI&T grows, we seek a talented, motivated, and experienced Data Developer to join our team and build robust data-driven solutions for our customers. 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.

The 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.

Responsibilities:

• Data Pipeline Development: Build, optimize, and maintain scalable data pipelines and ETL/ELT processes to support analytics and business intelligence needs.
• Data Architecture Implementation: implement data architectures, including data lakes, warehouses, and integration layers that support the organization's data strategy and modernization.
• Data Quality & Governance: Implement data quality checks, validation processes, and monitoring systems to ensure data accuracy, consistency, and reliability.
• Integration & API Development: Develop and maintain integrations between various data sources, third-party tools, and analytics platforms.
• Collaboration: Work closely with Data & Analytics Managers and business stakeholders to understand requirements and deliver technical solutions that enable data-driven decision making.
• Performance Optimization: Monitor and optimize data pipeline performance, query efficiency, and storage costs to ensure scalable and cost-effective solutions.
• Documentation: Create and maintain comprehensive technical documentation for data architectures, pipelines, and processes.
• Data Security: Implement security best practices and ensure compliance with data privacy regulations across all data systems.
• Powered by AI: Leverage AI tools and automation to enhance data engineering workflows and productivity.

Requirements:

• Experience with major Cloud Platform providers (Azure, AWS)
• Proven experience with data platforms using Databricks
• Good level of English B2 or above
• Experience working with international clients
• Strong experience with data pipeline development and ETL/ELT processes
• Proficiency with data warehousing solutions (BigQuery, Snowflake, Redshift, or similar)
• Experience with SQL and at least one programming language (Python, Scala, or Java)
• Understanding of data modeling and database design principles
• Availability to work in our Campinas office 3x per week (Tue, Wed and Thu)

Nice to Have:

• Experience with modern data stack tools (dbt, Airflow, Fivetran, Stitch, etc.)
• Experience with streaming data platforms (Kafka, Pub/Sub, Kinesis)
• Databricks Certification
• Experience with Docker and container orchestration (Kubernetes)
• Experience with AI/ML pipeline development and MLOps
• Experience with D2C initiatives and e-commerce analytics
• Certifications in cloud platforms or data engineering
• Experience with Infrastructure as Code (Terraform, CloudFormation)

#LI-AG4

Our benefits:

• -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!

More details about our benefits here: https://ciandt.com/br/pt-br/carreiras

At CI&T, inclusion starts at the first contact. If you are a person with a disability, it is important to present your assessment during the selection process. See which data needs to be included in the report by clicking here. This way, we can ensure the support and accommodations that you deserve. If you do not yet have the assessment, don't worry: we can support you in obtaining it.

We have a dedicated Health and Well-being team, inclusion specialists, and affinity groups who will be with you at every stage. Count on us to make this journey side by side.