Senior Data Engineer

TL;DR

Senior Data Engineer (Data Engineering/ETL-ELT): Designing, developing, and maintaining scalable ETL/ELT pipelines and cloud-based data platforms for analytics and reporting with an accent on data quality, governance, and performance optimization. Focus on building reliable data architectures, integrating multiple data sources and APIs, and improving engineering workflows with automation and AI-powered tools.

Location: Brazil

Company

CI&T helps enterprises turn AI potential into real business impact through AI deployment and tech-integrated solutions.

What you will do

• Design, develop, and maintain scalable ETL/ELT pipelines and data integration processes.
• Build and optimize cloud-based data architectures for analytics and business intelligence.
• Ensure data quality, consistency, governance, and reliability via validation, monitoring, and automated quality checks.
• Develop integrations between data sources, APIs, and third-party platforms.
• Monitor and optimize pipeline performance, query efficiency, and infrastructure costs.
• Implement data security best practices and support compliance with data privacy standards.

Requirements

• 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.

Nice to have

• Experience with AWS, Azure, or GCP.
• Experience with Data Stack tools such as dbt, Airflow, Fivetran, or Stitch.
• Experience with streaming technologies such as Kafka, Pub/Sub, or Kinesis.
• Experience with Docker and Kubernetes.
• Familiarity with AI/ML pipelines and MLOps concepts.

Culture & Benefits

• Remote work (Homeoffice).
• Work with global clients and cross-functional teams.
• Use AI-powered tools and automation to improve engineering productivity and development workflows.
• Support during the selection process assessment.