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

• Design and enhance contemporary, scalable, dependable, and high-performing data architectures.

• Create and refine data pipelines to support Analytics, BI, and data-driven decision-making.

• Architect solutions for cloud data engineering and distributed processing.

• Integrate various data sources and platforms, ensuring data quality, accessibility, and governance.

• Continuously enhance the data platform by improving performance, reliability, and efficiency.

• Collaborate with business and BI teams to convert requirements into sustainable data solutions.

• Develop and manage scalable pipelines for corporate analytics and reporting.

• Construct batch and near-real-time data ingestion processes.

• Execute the transformation and processing of large data volumes.

• Engage in code reviews, architecture definition, and initiatives for continuous improvement.

• Work alongside architects, BI teams, analysts, developers, and business stakeholders.

• Proficient in English for daily collaboration with global teams.

• Bachelor's degree in Computer Science, Information Systems, Engineering, or a related discipline.

• Extensive experience with Databricks.

• Advanced understanding of Apache Spark (PySpark).

• Strong Python programming capabilities.

• Experience in designing and implementing data pipelines and ETL/ELT processes.

• Practical knowledge of AWS Glue, AWS Lambda, Amazon S3, and AWS IAM.

• Solid command of SQL and data modeling.

• Familiarity with modern Data Lake and Data Warehouse architectures.

• Experience with Business Intelligence and Analytics projects.

• Background in data integration and modeling for Qlik Sense/QlikView.

• Knowledge of code version control (Git) and CI/CD methodologies.

• Strong analytical skills and ability to solve complex problems.

• Capability to document processes, data models, integration flows, and operational procedures.

• Exposure to individuals from across the globe.

• Exchange of knowledge and innovative ideas.

• Diverse and multicultural work environment.

• Opportunities for collaboration across various specialties, functions, and regions.

Data Engineer, AWS

People also viewed