Data and Analytics Engineer


Job description

We are looking for a Data and Analytics Engineer, able to work closely with the big data DevOps team, to continuously improve and deliver high-quality cloud-based solutions.

Main responsibilities

• Develop, construct, and test, data warehouse architectures and data models.

• Continuously align architectures with evolving business requirements.

• Develop reports as requested.

• Implement changes and improvements though programming language and tools.

• Access the solution to improve data reliability, efficiency, and quality.

• Support the Solution Architect in the High Level Design (HLD) definition by collecting and sharing data insights.

• Participate in the DevOps Scrum meetings, contributing to a better task definition, resource allocation and effort estimation.

• Migrate data and data models, to the cloud, in the scope of solution migration projects (usually to AWS).

• Build and maintain a state-of-the-art knowledge on data warehouse architectures, data models, and their evolution to the cloud.2/2


• The right person will be highly technical and analytical, possess 5+ years of data and analytics engineering experience.

• Technical degree (EQF-6) required; Computer Science or Math background is highly desired.

• Experience in Oracle stack development, 5+ years required.

• Experience, in a technical management role, in a software house and/or vendor highly desired.

• Expertise in software integration, APIs definition, Databases, ETL mechanisms, data warehouse and analytics; highly desired.

• Excellent knowledge of ODI, Golden Gate, BIP, Java, Oracle Database administration, Database Tuning and SQL; highly desired.

• Experience in Oracle to AWS Migration, a bonus.

• Experience in cloud computing platforms such as GCP or AWS, a bonus.

• Certifications in Oracle, AWS, Agile or Scrum, a bonus.

• Experience with Atlassian tools (JIRA, Confluence) a bonus.

• Strong verbal and written communications skills are a must, as well as the ability to work effectively across internal and external organizations in both Portuguese and English (B2 required, C1 desired)

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