AWS Developer (Data Lake)

Meta; Santana de Parnaíba; Teletrabalho; BRL 80.000 - 120.000; Tempo integral

Resumo da oferta

A leading technology firm seeks a Senior AWS Developer to design and implement a data lake and analytics platform within a financial institution. The role demands strong AWS expertise, proficiency in Python or Spark scripting, and familiarity with financial services. Work hours align with U.S. Eastern Time and remote work from Brazil is available.

Qualificações

• Strong AWS expertise, especially in data and analytics services.
• Proficient in Python or Spark scripting for automation tasks.
• Hands-on experience with Terraform and Infrastructure as Code.

Responsabilidades

• Design, develop, and maintain data pipelines within AWS.
• Build and optimize components for the data lake using various tools.
• Collaborate with team members for high-quality data delivery.

Conhecimentos

AWS expertise

Python scripting

Spark scripting

Terraform

SQL

Financial services knowledge

Communication

Team collaboration

Descrição da oferta de emprego

About the Role We are seeking a Senior AWS Developer to support the design and implementation of a large-scale data lake and analytics platform within a leading financial institution. The ideal candidate will demonstrate strong technical expertise across the AWS ecosystem and the ability to deliver complex solutions independently while collaborating effectively within a high-performing engineering team.

Key Responsibilities

• Design, develop, and maintain data pipelines and workflows within the AWS ecosystem.
• Build and optimize components for the data lake using Airflow, Glue, Redshift, S3, Athena, and Iceberg.
• Write efficient and maintainable Python or Spark scripts for data ingestion, transformation, and automation.
• Implement Infrastructure as Code using Terraform to deploy and manage AWS services.
• Collaborate with cross-functional team members to ensure high-quality, performant, and reliable data delivery.
• Contribute to code reviews, testing improvements, and performance optimization.
• Participate in solution design discussions, bringing forward ideas and accepting feedback in a collaborative, team-first manner.

Required Qualifications

• Strong AWS expertise, especially in data and analytics services (Airflow, Glue, Redshift, S3, Athena, Iceberg).
• Proficient in Python or Spark scripting for automation and data engineering tasks.
• Hands-on experience with Terraform and Infrastructure as Code principles.
• Solid understanding of data modeling, analytics platforms, and SQL.
• Experience working in financial services and familiarity with banking data terminology,
• Demonstrated ability to work both independently and collaboratively in a team of senior developers.
• Strong focus on performance, code quality, and continuous improvement.
• Takes initiative to identify opportunities for improvement in testing, performance, and architecture.
• Communicates constructively and is open to giving and receiving feedback.
• Balances ownership and teamwork, understanding that success is a collective effort.
• Fluent English.

Additional Information

• Work hours aligned to U.S. Eastern Time (EST).
• Remote from Brazil.