• Execute DataOps projects from conception to deployment, ensuring timely, and successful delivery. • Implement automation tools and scripts to streamline data workflows and reduce manual intervention. • Implement monitoring and alerting systems to track the health and performance of data pipelines and storage systems and quickly resolve any issues that arise. • Ensure robust data pipeline and storage system security measures are in place and that data management practices comply with relevant regulations. • Implement and maintain disaster recovery plans and redundancy measures, ensuring data integrity and availability in case of failures. • Perform data migrations from existing databases to our Cloud environment, ensuring seamless transitions and data integrity. • Experience creating/maintaining standards, along with enforcing those standards, to provide lean, high performant data pipelines and storage systems while balancing overall costs. • Stay abreast of latest technology trends and participate in high-level decisions impacting the direction of the Information Technology function. • Aid Guild’s data transformation includes the support of new ways of working and generating insights. • Work closely with development, operations, and other teams to foster a culture of reliability, and provide feedback on system design and architecture for improved reliability.

• Desenvolvimento e manutenção de pipelines de ingestão de dados • Implementação de cargas batch/full e incrementais • Integração de dados provenientes de sistemas legados e SAP Datasphere • Desenvolvimento de processos de carga na camada Raw/Bronze do Databricks • Apoio na sustentação, monitoração e evolução das demandas da área • Atuação em integração, tratamento técnico e disponibilização de dados • Construção e manutenção de pipelines utilizando PySpark e SQL • Garantia de rastreabilidade, governança e qualidade técnica das cargas

• Evolve Azure API Management strategies • Support design of integration and data architecture • Develop and optimize data pipelines • Work with cloud environments (Azure/AWS) • Ensure governance, security, and scalability • Support automation initiatives, CI/CD, and technical documentation

• Design, build, and maintain scalable and secure cloud-native data platforms and data pipelines. • Lead the architecture, optimisation, and operational management of the Snowflake data warehouse platform. • Develop robust ELT/ETL pipelines to ingest, transform, and deliver high-quality data from multiple internal and external sources. • Build reusable and maintainable data frameworks, transformation models, and orchestration workflows. • Develop and maintain infrastructure-as-code and automation for data platform provisioning and management where appropriate. • Optimise performance, scalability, and cost efficiency across data storage, transformation, and query workloads. • Support near real-time and batch-based data processing requirements. • Own and continuously improve Snowflake architecture, performance tuning, security, governance, and operational best practices. • Design and optimise Snowflake schemas, warehouses, clustering strategies, and data sharing capabilities. • Monitor Snowflake usage, query performance, and cost consumption to drive optimisation initiatives. • Support data lifecycle management, retention, and governance policies within Snowflake. • Enable self-service analytics capabilities through well-structured semantic layers and governed datasets. • Collaborate closely with Product, Engineering, Operations, Finance, and Business stakeholders to deliver impactful data solutions.