Senior Data Engineer
Rad AI145,000 - 190,000 USD/year
- Full Time
- Senior (5 to 8 years)
Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Data Collaboration, Data Science, Big DataIndustries
Requirements
Candidates should possess 5+ years of experience in designing, managing, and maintaining various database technologies in the cloud or on-prem, with at least 2+ years’ experience working on Big Data platforms. Experience with real-time and NoSQL Databases such as Singlestore DB, ScyllaDB, Cassandra, or DynamoDB is required, along with experience working with streaming and distributed data architectures like RedPanda and Apache Kafka. Strong experience with ORM technologies such as ActiveRecord (Ruby on Rails), relational databases like MySQL, Percona DB, Postgres, and SQL Server is also necessary. A solid understanding of SQL query optimization, execution plan analysis, and the database query engine is required, along with experience with building highly scalable and available database systems using database clustering, caching, or proxying.
Responsibilities
The Senior Database Engineer will design and implement the infrastructure and code to handle data processing in real-time and at scale, secure the data infrastructure by implementing policies and auditing solutions, maintain and develop code for managing database connectivity (ORM) and infrastructure, maintain and ensure the uptime and high availability of databases and data infrastructure through automation, troubleshoot data infrastructure issues and respond to alerts, and work with development teams to analyze and optimize the performance of queries used by different applications. They will also evaluate new and emerging data infrastructure technologies and provide support to different teams in the company to develop and implement best practices for efficiently processing and securing data.
Skills
Database Engineering
Data Infrastructure
Data Processing
Real-time Data
Data Security
ORM
Data Backup
Data Archiving
Table Partitioning
Automation
LiveRamp
Identity platform for people-based marketing
About LiveRamp
LiveRamp offers an identity platform that connects people, data, and devices for effective marketing. This platform supports people-based marketing, allowing businesses to target their audiences more accurately. LiveRamp operates on a subscription model, providing services like data onboarding and identity resolution to help clients unify and analyze their data. The company aims to empower businesses to use data responsibly while enhancing customer experiences.
Key Metrics
San Francisco, CaliforniaHeadquarters
2011Year Founded
$15.6MTotal Funding
IPOCompany Stage
Data & Analytics, Consumer SoftwareIndustries
1,001-5,000Employees