Engenheiro de Dados - AWS

This position is posted by Jobgether on behalf of a partner company. We are currently looking for an Engenheiro de Dados - AWS in Brazil.

This role is part of a global technology environment focused on delivering large-scale data solutions that power digital transformation for leading organizations. You will work at the core of modern data architecture, building and evolving pipelines, data lakes, and cloud-based platforms using AWS services. The position involves close collaboration with multidisciplinary teams to ensure data is reliable, accessible, and optimized for analytics and business decision-making. You will participate in architectural discussions and contribute to scalable, high-performance data ecosystems. The environment is highly collaborative, innovation-driven, and centered on cloud, data, and AI technologies. This is a great opportunity to impact enterprise-level solutions while working with cutting-edge data engineering practices.

• Develop, maintain, and optimize end-to-end data pipelines, including ingestion, transformation, and integration across multiple sources and systems.
• Design and implement modern data architectures such as Data Lake, Lakehouse, and Data Warehouse solutions on AWS.
• Build and orchestrate scalable workflows using tools like AWS Glue, Apache Spark, Airflow, or equivalent technologies.
• Ensure data quality, consistency, security, and availability across all data platforms and processes.
• Participate in technical discussions and contribute to architectural decisions for cloud-based data solutions.
• Integrate data from APIs, streaming systems, messaging platforms, and relational/non-relational databases.
• Support version control, CI/CD pipelines, and automation practices within the data engineering lifecycle.

Requirements:

• Solid hands-on experience with AWS data services such as S3, Glue, Redshift, Athena, Lambda, IAM, CloudWatch, and Step Functions.
• Strong knowledge of SQL, Python, and/or PySpark for data processing and analytical modeling.
• Experience building and managing data pipelines using modern orchestration tools (e.g., Airflow or similar).
• Deep understanding of modern data architectures including Data Lake, Lakehouse, and Data Warehouse concepts.
• Experience with data integration from APIs, event-driven systems, and heterogeneous data sources.
• Familiarity with CI/CD, version control, and automation in data engineering workflows.
• Strong analytical thinking, problem-solving skills, and attention to data quality and performance.
• (Differential) Experience with Lakehouse frameworks such as Delta Lake or Iceberg and cloud migration projects.

Benefits:

• Medical assistance fully subsidized for employees and dependents.
• Dental assistance plan.
• Meal or food allowance with no salary deduction.
• Life insurance and private pension plan.
• Wellhub (Gympass) access for wellness and fitness support.
• Discounted company stock purchase program.
• Pharmacy discounts.
• Childcare assistance and extended parental leave.
• Language learning partnerships and development support.
• Performance bonus (PPR) according to company policy.