AWS Data Specialist

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for an AWS Data Specialist based in Brazil.

Join a data engineering team focused on building robust, scalable cloud data solutions on AWS. In this role, you will design, optimize, and maintain modern data pipelines while contributing to cloud migration and advanced data architecture initiatives. You will work across ETL/ELT, data platforms, governance, observability, and large-scale data processing. The role also provides exposure to emerging technologies such as Generative AI, AI agents, and advanced data architectures. You will collaborate with multidisciplinary teams to turn complex data requirements into reliable and efficient solutions. This is an opportunity to contribute to technically challenging projects while driving automation, performance, and continuous improvement.

Accountabilities:

• Plan and execute the migration of systems and large volumes of data to modern AWS cloud infrastructure.
• Design, develop, optimize, and orchestrate robust ETL/ELT pipelines while ensuring data integrity, quality, reliability, and performance.
• Build and maintain scalable data architectures using AWS services and modern processing and storage technologies.
• Work closely with development, product, operations, and other multidisciplinary teams to deliver efficient and sustainable data solutions.
• Monitor data environments, pipelines, and databases, investigate complex incidents, and implement solutions that improve reliability and operational performance.
• Create and maintain technical documentation covering architecture, data lineage, processes, and operational procedures.
• Apply data governance and observability practices to improve transparency, quality, and maintainability across data environments.
• Contribute to capacity planning and technical decisions by evaluating cost, scalability, and performance trade-offs.
• Promote DevOps principles, automation, and continuous improvement throughout data engineering workflows.
• Explore and support the adoption of emerging technologies in Generative AI and advanced data architectures where relevant to business and technical objectives.

Requirements:

• Proven professional experience in data engineering, with strong hands-on expertise designing and implementing solutions within the AWS data ecosystem.
• Strong knowledge of AWS data services, including AWS Glue, EMR, Amazon Athena, DynamoDB, Lake Formation, Amazon S3, and EventBridge.
• Solid experience with Apache Spark and PySpark for large-scale data processing.
• Experience with data warehouse and modern data architecture concepts, including Amazon Redshift, Lakehouse architectures, Open Table Formats such as Iceberg or Delta, data contracts, and schema evolution.
• Practical experience with Apache Airflow and strong knowledge of relational databases and SQL, as well as NoSQL technologies.
• Understanding of data governance, data lineage, and observability practices, including OpenLineage, CloudWatch, or Datadog.
• Strong DevOps and automation mindset, with the ability to troubleshoot incidents, improve processes, and balance cost against performance and scalability.
• Ability to collaborate effectively with multidisciplinary teams and communicate technical concepts clearly.
• Strong planning, analytical, and problem-solving skills, with a proactive approach to continuous improvement.
• Experience with Amazon Bedrock, MCP Server, AI agents, prompt engineering, RAG, embeddings, guardrails, evaluation frameworks, or Spec-Driven Development is a strong advantage.
• Previous experience with SAS or large-scale legacy system migration projects is desirable.
• Active AWS or related data-platform certifications are considered a plus.

Benefits:

• Health and dental insurance.
• Meal and food allowance.
• Childcare assistance.
• Extended parental leave.
• Access to fitness, health, and wellness programs through Wellhub (Gympass) and TotalPass.
• Profit-sharing program (PLR).
• Life insurance.
• Continuous learning opportunities through a dedicated learning platform.
• Discounts through partner programs.
• Free online platform focused on physical health, mental health, and overall well-being.
• Pregnancy and responsible parenthood courses.
• Partnerships with online learning platforms.
• Language-learning platform.
• Additional employee benefits and development opportunities.
• Remote work opportunity, with office attendance requirements applicable to employees residing in the Campinas metropolitan region under the relevant workplace policy.
• A strong focus on inclusion, accessibility, employee well-being, and professional development.