Engenheiro de Dados Sênior

This is a fully remote position, open to applicants in Brazil.

📋 Description

• Design, implement, evolve, and maintain data platform pipelines on AWS, focusing on ETL/ELT pipelines and dimensional modeling.

• Develop and sustain data ingestion, transformation, and availability pipelines in GCP environments.

• Define and apply standards for relational and dimensional data modeling, including star schema modeling for analytical consumption.

• Structure data following modern architectures such as Data Lake and Medallion (Bronze, Silver, and Gold).

• Collaborate with business areas to translate requirements into clear and consistent data models.

• Ensure data quality, governance, security, and compliance throughout the entire lifecycle.

• Monitor and optimize cloud performance and costs (FinOps).

• Serve as a technical reference, leading best engineering practices, code reviews, and data architecture evolution.

• Lead the creation, experimentation, and evolution of solutions based on Artificial Intelligence, including the development of agents, intelligent automation, and integration of language models (LLMs) into data pipelines and products.

• Identify opportunities for efficiency gains in the development pipeline through AI, proposing and implementing improvements in engineering processes, code quality, testing, and observability.

• Design and implement integrations between data services and generative AI solutions, ensuring scalability, governance, and responsible data usage.

⛳️ Requirements

• Proficiency in Python and SQL.

• Experience with relational databases.

• Familiarity with ETL/ELT tools.

• Mastery of AWS cloud services: Lambda, Redshift, Glue, Step Functions, Athena, S3, DMS, EventBridge, SQS, SNS, IAM, Secrets Manager, API Gateway, DynamoDB, and Crawlers.

• Experience with modern data architectures: Data Lake, Lakehouse, and Medallion.

• Knowledge of DataOps practices and data observability.

• Experience with code versioning (GitHub) and CI/CD pipelines.

• Proficiency in FinOps practices.

• AWS certifications are a plus.

• Experience with CDP tools is an advantage.

• Knowledge of GA4 and BigQuery is beneficial.

• Experience with Snowflake or Databricks is a bonus.

• Experience with integrating AI models (LLMs), creating agents, or using generative AI APIs is a plus.

• Familiarity with AWS tools focused on data governance is a bonus.

🏝️ Benefits

• Flexible Meal/Food allowance - Swille card.

• Medical assistance.

• Dental assistance.

• Life insurance.

• Home office support.

• Transportation allowance.

• Birthday day off.

• TotalPass.

• Zenklub.

• Consortium professional day benefit.

• 0% fee on our products (for employees only).

• PPR - based on goals set in the annual program.

• Partnership with educational institutions offering discounts for postgraduate courses.

• Access to Udemy business after 6 months, fully covered by the company.

• Partnership with Sesc.