Description

Essential Functions and Responsibilities:
Maintain a Snowflake data warehouse, and data replication from various sources. 
This will include production deployments via a dev/ops procedure as well as monitoring
the health and well-being of the environment.
Set up and maintain security and access for production.
Development responsibilities include data modeling and analysis, schema design, and database object creations (tables, stored-procedures, triggers, functions, and jobs, etc.)
Identify, assess, and evaluate technologies, products, and tools for building enterprise architecture services
Analyze archiving approaches, propose solution(s) and assist in implementation of chosen approach
Review and revise existing tables and indexing strategies to improve storage efficiency and access
Responsible for performance tuning assistance on all data pull/queries and working with end-users
Pro-actively identify issues and coordinate resolutions
Assist programmers during development by responding to questions and providing guidance when necessary. 
Responsible for user direction/support on all data queries
Analyze problems and propose, present and propagate solutions or practices to meet architectural challenges
Participating in unit, system, user and performance testing
User level familiarity with version control tools
Installation, maintenance, and on-call support

Qualifications and Education:
Working experience in setup, integration, and security [Active Directory/SSO etc.] with any
SAAS applications
Knowledge & ideally working experience, data lake, data modelling on Snowflake, AWS S3, Glue
Working experience in setting up security and access controls in Snowflake
5+ years hands on database work DB2/UDB, SQL Server
Hands on experience with AWS RDS, DocumentDB, DynamoDB, and Redis databases
An understanding of proper indexing and experience with query tuning
Knowledge of DB2
Knowledge of UDB/AIX utilities such as backup, reorg, runstats and rebind is required
Knowledge of Oracle and MS SQL Server reorg, update stats
Experience with AWS DMS
Excellent communication (verbal and written) and interpersonal skills
Experience using a Software Development Life Cycle (SDLC) methodology
Ability to analyze existing configuration and recommend hardware/software improvements
Knowledge of the Property and Casualty Insurance industry is a plus
Knowledge of replication desired.
Prior experience migrating databases from on premise data center to the cloud is preferred.

Education

Bachelor's degree in Computer Science