[Job-30800] Senior Data Engineer, Brazil

At CI&T, we are looking for a talented and experienced Data Engineer to join our team and help build scalable, high-performance data solutions for global clients.

In this role, you will be responsible for designing, developing, and maintaining modern data pipelines and cloud-based data platforms that enable analytics, reporting, and data-driven decision-making. You will collaborate with cross-functional teams, ensuring data quality, reliability, and performance while implementing best practices in Data Engineering.

Responsibilities

• Design, develop, and maintain scalable ETL/ELT pipelines and data integration processes.

• Build and optimize cloud-based data architectures to support analytics and business intelligence initiatives.

• Ensure data quality, consistency, governance, and reliability through validation, monitoring, and automated quality checks.

• Develop integrations between multiple data sources, APIs, and third-party platforms.

• Collaborate with Data & Analytics Managers, Data Scientists, and business stakeholders to translate business requirements into technical solutions.

• Monitor and optimize data pipeline performance, query efficiency, and infrastructure costs.

• Create and maintain technical documentation for data architectures, pipelines, and engineering processes.

• Implement data security best practices and support compliance with data privacy standards.

• Leverage AI-powered tools and automation to improve engineering productivity and development workflows.

Required Qualifications

• Advanced English (B2 or higher).

• Experience working with international clients.

• Strong experience in Data Engineering and ETL/ELT pipeline development.

• Hands-on experience with Python and SQL.

• Experience with Databricks and PySpark.

• Experience with modern data warehouse platforms such as BigQuery, Snowflake, Redshift, or similar.

• Solid understanding of data modeling, database design, and data architecture principles.

• Ability to design scalable, reliable, and maintainable data solutions.

Nice to Have

• Experience with cloud platforms such as AWS, Azure, or GCP.

• Experience with modern Data Stack tools, including dbt, Airflow, Fivetran, Stitch, or similar.

• Experience with streaming technologies such as Kafka, Pub/Sub, or Kinesis.

• Knowledge of data visualization platforms such as Tableau or Looker.

• Experience with Docker and container orchestration using Kubernetes.

• Familiarity with AI/ML pipelines and MLOps concepts.

• Experience with Infrastructure as Code (Terraform, CloudFormation).

• Cloud or Data Engineering certifications.

• Experience designing scalable database architectures.

If you are passionate about Data Engineering, modern cloud technologies, and building scalable data solutions in a collaborative global environment, we'd love to hear from you!