Sr. Snowflake Data Engineer, Onsite, AVP

State Street•Princeton, NJ

2d•Onsite

About The Position

The candidate must have more than 7+ years of experience in IT. This role is for a Sr. Snowflake Data Engineer with strong experience in design/data modeling/development & performance tuning. Candidate will be working on building Cloud based DW solutions for F2B clients.

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
5+ years of experience on Snowflake development including Snowpipes, Snowshare, Task, Streams, UDFs and Procedures
5+ years of experience on cloud-based development including Azure Services, Azure DevOps, Kubernetes, Docker
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
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 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
Experience of working in the financial industry
Experience with agile development methodology

Nice To Haves

Experience in Snowflake utilities including SnowSQL, Snowpipe, Snowlight for handling Streaming data is a plus
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

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
eligibility for certain tax advantaged savings plans
inclusive development opportunities
flexible work-life support
paid volunteer days
vibrant employee networks