Senior Data Engineer-Onsite

State Street•Quincy, MA

4d•$90,000 - $157,500•Hybrid

About The Position

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.

Requirements

7+ years of experience in professional database and data warehouse development
7+ years of development experience writing SQL queries/Stored Procedures for any another Relational Databases like Oracle, SQL Server
4+ years of experience on Snowflake development including Snowpipes, Snowshare, Task, Streams, UDFs and Procedures
4+ years of experience on cloud-based development including Azure Services, Azure DevOps, Kubernetes, Docker
Experience in Snowflake utilities including SnowSQL, Snowpipe, Snowlight for handling Streaming data is a plus
Expertise in Snowflake advanced concepts like setting up resource monitors, RBAC controls, virtual warehouse sizing, query performance tuning, Zero copy clone, time travel and understand how to use these features
Experience in re-clustering Snowflake data with good understanding of Micro-Partition within Snowflake
Expertise in deploying Snowflake features such as data sharing, events and lake-house patterns
Experience in handling semi-structured data (JSON, XML) in Snowflake
Bachelor’s Degree level qualification in a computer or IT related subject
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 orchestration and scheduling
Experience dealing with users or clients from either a technical or business area
Ability to communicate effectively and in a professional manner both written and orally.
Be a team player with a positive attitude, enthusiasm, initiative, and self-motivation
Ability to multi-task, meet aggressive timelines and have strong work ethics

Nice To Haves

Any development experience on Databricks or Scala is a plus
Exposure to working in financial services; front- or middle-office, or fund management business areas ideal
Desire to work in client facing environment
Experience of working in the financial industry
Experience with agile development methodology

Responsibilities

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

Benefits

our retirement savings plan (401K) with company match
insurance coverage including basic life, medical, dental, vision, long-term disability, and other optional additional coverages
paid-time off including vacation, sick leave, short term disability, and family care responsibilities
access to our Employee Assistance Program
incentive compensation including eligibility for annual performance-based awards (excluding certain sales roles subject to sales incentive plans)
eligibility for certain tax advantaged savings plans
inclusive development opportunities
flexible work-life support
paid volunteer days
vibrant employee networks