דאטה

Data Warehouse Applicative Database Administrator

775037

תאריך עדכון

06/04/2021

תיאור המשרה

Data Warehouse Applicative Database Administrator

The development DBA will work to support the application development lifecycle and will focus on tasks related to building an effective, usable database environment to support the creation and maintenance of data applications. In addition to traditional performance and production tasks, the selected individual will lend assistance and support by building and maintaining the proper database structures required by data applications, which will include data modeling and normalization to ensure that databases are designed to promote data integrity and best performance.

What you’ll do:

Serve as the primary DBA in support of our Data department

Guide database design for all new product and feature enhancements, understanding of analytical DBs and requirements

Work with the Data Engineering and BI  teams to ensure that appropriate and efficient SQL and Python is being coded and tested

Monitor database and ETL performance, and guide implementation of architecture and code changes for improving scalability and maintainability

Guide development teams on the best practices of working with databases, and take an active part in the database design and performance considerations

Devise strategic solutions to resolve and eliminate recurrent problems

Mentor other team members, and take an active part in code reviews.

Minimize database downtime and manage parameters to provide fast query responses

Provide proactive and reactive data management support and training to users

Determine, enforce and document database policies, procedures and standards

Provide automation tools to facilitate database testing and data refresh

 

What we’re looking for:

Academic degree in Information Technology, Computer Science or equivalent experience

5 years of hands on experience as an Application SQL Server DBA

Experience with cloud DBs such as Snowflake and DBs on AWS and Azure.

Highly proficient with SQL and NoSQL database design and distributed computing

Prior experience with stored procedures, triggers, and user-defined functions (UDFs).

Prior experience guiding development teams on best practices and conventions in an Agile environment

Experience in Performance Tuning and Optimization of big data environments, using native monitoring and troubleshooting tools

Implementing operational automation using scripts

Self-motivated, independent and problem-solving orientation

Good communication and documentation skills

Experience with backups, restores and recovery models

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