Database Administrator / Data Science
Hearst Digital Media
(New York, New York)Hearst is one of the nation’s largest diversified media, information and services companies with more than 360 businesses.
THE DATA SERVICES TEAM AT HEARST, PART OF CORPORATE TECHNOLOGY, IS RESPONSIBLE FOR A NUMBER OF BIG DATA SOURCES THAT POWER PRODUCTS USED THROUGHOUT THE ORGANIZATION. THE DATABASE ADMINISTRATOR WILL BE A KEY MEMBER OF THE TEAM, HAVING RESPONSIBILITY FOR THE DESIGN AND MAINTENANCE OF KEY PIECES OF THE HEARST DATA WAREHOUSE. WE INGEST MANY TERABYTES OF DATA EACH DAY FROM A WIDE VARIETY OF INTERNAL AND EXTERNAL SOURCES; VIRTUALLY ALL OF THAT DATA IS STORED IN DATABASES AT SOME POINT. THE DBA WILL TAKE OWNERSHIP OF A NUMBER OF AMAZON REDSHIFT CLUSTERS, OUR GOOGLE BIGQUERY IMPLEMENTATION, AS WELL AS OTHER SMALLER DATABASES ON A VARIETY OF PLATFORMS, AND WILL ENSURE THEIR INTEGRITY AND RESILIENCE.
- 3+ years experience with Amazon Redshift; experience with MySQL is a plus, experience with Google BigQuery is a big plus
- Must include significant experience with database design and optimization including writing and executing DDL statements
- Understanding of database performance and tuning. Must have a solid understanding of Redshift distribution and sort keys and column encodings.
- Strong working knowledge of AWS – must have experience spinning up and resizing Redshift clusters, be familiar with RDS, and know how to install a database on an ec2 instance
- Demonstrable experience with issue detection and resolution; be ready to provide examples
- Working knowledge of backup and recovery procedures
- Ability to provide guidance to data scientists, engineers and other team members
- Documentation skills for processes and procedures
- Experience with NoSQL databases such as Cassandra, DynamoDB, and MongoDB is a big plus
- Working knowledge of Linux
- Comfort with Python, BASH scripting and crons
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- AWS
- Big Data
- Database Design
- Databases
- Design
- Linux
- MySQL
- Python
- Amazon EC2
- Amazon Relational Database Service
- Apache Cassandra
- Bash
- MongoDB
- NoSQL
- Scripting
- Redshift
- DynamoDB
- Data Definition Language (DDL)
- BigQuery
- Amazon
- Data Warehouse

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