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)

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)