• 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.

• Responsible for the design, development, testing, and implementation of the new generation of data movement solutions for the Bank using state of the art technologies to optimize effectiveness of Provident Bank’s data warehouse. • Design, develop, test, and implement ETL/ELT data movement jobs based on business requirements to feed data into Provident’s data warehouse and the various downstream bank applications. • Provide technical guidance on data movement related issues and ensure optimal design for all aspects of the data warehouse. • Perform data analysis and sourcing to target mappings and verify accuracy of data within the Bank’s data warehouse. • Identify, design and implement process improvements (i.e. automate manual processes and optimize data delivery) to optimize the quality of data for the firm’s business intelligence team. • Implement, maintain, and extend best practices and assets in line with the market standards and guidelines to best ensure reliability of the Bank’s data.