SeniorDataEngineer

**Who we are looking for** We are seeking a Senior Data Engineer with 7+ years of experience in building scalable, cloud-based data platforms. The ideal candidate will have strong expertise in Snowflake, Azure, and PL/SQL, with hands-on experience in data modeling, pipeline development, and performance tuning. **Why this role is important to us** This role focuses on delivering cloud-native data warehouse (DW) solutions for Fund Accounting clients, supporting both batch and near real-time data processing needs. This is critical workstream for State Street servicing all Back Office business data requirements. **What you will be responsible for** As **Senior Data Engineer** , you will: * Design, build and test end to end data pipeline including data ingestion (streaming, events, and batch), data integration, data curation * Design, develop, and deploy scalable data pipelines and ETL processes on cloud-based infrastructure using Azure, Snowflake, DBT, Airflow, Cosmos DB * Define and implement automation of jobs and testing * Optimize the data pipeline to support workloads and use cases. * Support mission critical applications and near real time data needs from the data platform. * Address data issues, environment issues, performing impact analysis, root cause analysis, corrective, adaptive and perfective maintenance * Implement data models, transformations, and schema designs to support analytical and reporting needs * Optimize and tune Snowflake performance, including query optimization, resource management, and scaling strategies **What we value** These skills will help you succeed in this role * Experience in micro-services architecture and understanding of Cloud Computing is highly desirable * Experience with MicroServices - API/Event Driven Architecture/Development * Strong hands-on experience in troubleshooting DevOps pipelines and Azure services * Experience with DBT (Data Build Tool) for data modelling and transformation and Apache Airflow for workflow orchestr