Senior Data Engineer – AWS

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

📋 Description

• Develop and enhance data pipelines, integrate various information sources, and guarantee data availability and quality for both analytical and operational use.

• Build and sustain data pipelines utilizing AWS services, particularly AWS Glue, Amazon Athena, and Amazon S3.

• Design and execute ETL processes and facilitate data integration across different corporate systems.

• Aggregate data from multiple sources into centralized and scalable environments.

• Craft complex SQL queries for data transformation, modeling, and analysis purposes.

• Ensure data quality, performance, reliability, and adherence to data governance standards.

• Assist in efforts to transition data platforms to AWS.

• Engage in the evolution of cloud data architectures.

• Create and manage dashboards, reports, and analytical solutions using data visualization tools.

• Monitor production environments, detect bottlenecks, and address incidents.

• Collaborate with Product Owners, business stakeholders, and technical teams to translate business requirements into data solutions.

• Participate in agile ceremonies and contribute to the ongoing enhancement of development processes.

• Support initiatives in Data Analytics, Business Intelligence, and Data Platform development.

⛳️ Requirements

• Proficiency in English.

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

• Extensive experience in Data Engineering.

• Strong familiarity with AWS, particularly AWS Glue, Amazon Athena, and Amazon S3.

• In-depth knowledge of data modeling and data integration techniques.

• Proven experience in developing ETL pipelines.

• Advanced proficiency in SQL.

• Experience in consolidating data from diverse sources.

• Background in complex corporate environments with large-volume datasets.

• Understanding of data architecture and analytics platforms.

• Strong troubleshooting abilities and capacity to resolve issues in production settings.

• Effective communication skills for engaging with both technical and business teams.

• Experience with agile methodologies.

• AWS Certified Data Engineer (preferred).

• AWS Solutions Architect or Data Analytics certifications (preferred).

• Familiarity with Alteryx (preferred).

• Experience with data visualization tools such as Tableau or ThoughtSpot (preferred).

• Knowledge of financial or insurance environments, or large organizations with a robust data culture (preferred).

• Participation in data migration projects to AWS (preferred).

• Understanding of Data Analytics and Business Intelligence (preferred).

• Experience with contemporary data and analytics ecosystems (preferred).

🏝️ Benefits

• Food allowance

• Meal voucher

• Transportation allowance

• Health insurance

• Dental insurance

• Corporate University

• Wellhub

• Profit-sharing (PLR)