Data warehouse: Design, build, and implement data warehouse environment
Performance Tuning: Review monitoring tools and query execution plans to maintain or increase query efficiency. Also perform root cause analysis on query performance issues
Logical database design: Leverage knowledge of database architecture to develop normalized database solutions
Database development: Work with application developers to deliver data through the design of stored procedures, functions, and views
Work with advanced features of SQL server 2014
Upgrading older version to SQL Server 2016
Create database queries, indexes, and stored procedures, some with high level complexity
Design complex physical and logical data models
Monitoring and troubleshooting SQL jobs, and integration service packages
Writing and creating data load scripts and stored procedures; ensuring that data is loaded in a timely manner
Working with application developers in the design, tuning, and indexing of tables
Requirements
4-7 years of experience with SQL server 2008, 2012, 2014 and 2016
Experience with SSRS, SSIS, and T-SQL
Experience working in a VMware environment
Sound knowledge of the firewall, networks and Servers
Must demonstrate experience managing the set up and upgrades of complex databases, including interfacing with source control in order to generate creation, upgrade, and maintenance scripts
Experience creating and optimizing database queries, indexes, stored procedures, functions, triggers, and reports
Experience with database planning and design, set-up, maintenance, performance tuning, and partitioning
Proficient production support skills with the ability to understand the impact of a problem on overall DB performance.
Strong DB management skills incorporating backup and recovery best practices in a high-availability environment.
Efficient SQL scripting skills.
Working knowledge of Windows O/S systems administration tasks.
Ability to work well with customers of varying levels of technical expertise.
Nice to have:
Familiarity with other relational database platforms such as Postgres, Oracle
Familiarity with AWS Cloud data related services such as S3, RDS (Aurora, SQL Server), Glue
Interest in cloud data management and data warehouse technologies e.g. Snowflake, DynamoDB, NoSQL databases