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Cloud-Based Data Warehouse Specialist

1 week ago

Kilkenny, Kilkenny, Ireland State Street International (Ireland) Ltd Full time
Cloud-Based Data Warehouse Specialist
We are seeking a seasoned Cloud-Based Data Warehouse Specialist to join our technology team. As a key member of our team, you will play a critical role in designing, building, and testing end-to-end data pipelines, including data ingestion, integration, curation, and optimization. You will also develop and deploy scalable data pipelines and ETL processes on cloud-based infrastructure using Azure, Snowflake, DBT, Airflow, and Cosmos DB.

About Us
State Street International (Ireland) Ltd is one of the largest custodian banks, asset managers, and asset intelligence companies in the world. We provide investment servicing, data & analytics, investment research & trading, and investment management to institutional clients.

Key Responsibilities:
  • Design, build, and test end-to-end data pipelines, including data ingestion, integration, curation, and optimization.
  • Develop and deploy scalable data pipelines and ETL processes on cloud-based infrastructure using Azure, Snowflake, DBT, Airflow, and Cosmos DB.
  • Implement automation of jobs and testing, and optimize data pipeline performance to support workloads and use cases.
  • Solve 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.

Required Skills and Qualifications:
  • 7+ years of experience in professional database and data warehouse development.
  • Experience with micro-services architecture and understanding of cloud computing.
  • Strong hands-on experience in troubleshooting DevOps pipelines and Azure services.
  • Expertise in Snowflake utilities, including SnowSQL, Snowpipe, Snowlight, and advanced concepts like setting up resource monitors, RBAC controls, virtual warehouse sizing, query performance tuning, Zero copy clone, time travel, and Micro-Partition within Snowflake.
  • Experience in deploying Snowflake features, such as data sharing, events, and lake-house patterns.
  • Education: Bachelor's Degree level qualification in a computer or IT-related subject.