Simplify Logo

Full-Time

Senior Software Engineer

Big Data, Java/Scala

Confirmed live in the last 24 hours

Live Ramp

Live Ramp

1,001-5,000 employees

Identity platform for people-based marketing

Data & Analytics
Consumer Software

Senior

Remote in USA

Category
Backend Engineering
Software Engineering
Required Skills
Kubernetes
MySQL
Apache Spark
SQL
Apache Kafka
Java
Postgres
Docker
Scala
Apache Hive
REST APIs
Hadoop
Data Analysis
Snowflake
Google Cloud Platform
Requirements
  • 8+ years of experience writing and deploying production code, of which at least 2+ years’ experience is working on Big Data processing and distributed systems.
  • 5+ years of experience working with Java or Scala.
  • Strong working knowledge of relational databases and query authoring (SQL).
  • 3+ years of experience using SQL (like Postgres or MySQL).
  • Extensive knowledge and working experience with data processing platforms such as Hadoop, Spark, Hive, and Pig.
  • 5+ years of big data design experience with technologies like Spark, Single Store, Snowflake, Kafka, and GCP big data technologies.
  • Experience implementing Docker for Containerization and Kubernetes for orchestration.
  • You have a strong knowledge of system design, application design, and architecture.
  • Experience documenting and demonstrating solutions by developing documentation, flowcharts, layouts, diagrams, charts, code comments, and clear code.
Responsibilities
  • Work on a massively scalable data management system that performs stateful operations on petabytes of data and real-time segmentation.
  • Develop and maintain a next-generation cloud-based big data infrastructure for batch and streaming data applications and continuously improve performance, scalability, and availability.
  • Be a strong contributor to the product vision and team planning.
  • Be data-driven and able to perform comprehensive data analysis to spot trends and troubleshoot issues using SQL.
  • Partner with passionate software engineers, architects, and product managers to plan, design, build, test, and launch platform products.
  • You will parse, validate, normalize, and anonymize petabyte-scale data and convert it to a single format our downstream consumers understand.
  • Design, develop, and deploy scalable and efficient data pipelines using Java, Scala, and Spark to process and analyze large volumes of data.
  • Own product features from the development phase through to production deployment.
  • Evaluate big data technologies and prototype solutions to improve our data processing architecture.
  • Design and implement interfaces and infrastructure for large-volume services and RESTful APIs.
  • Impact the entire product and engineering organization by leading technical discussions in the architecture board, evangelizing best practices, and mentoring engineers and engineering teams.

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. Clients, including brands and advertising agencies, use LiveRamp's subscription-based services for data onboarding and identity resolution while ensuring consumer data is handled responsibly. The company's goal is to help businesses utilize data effectively for marketing while prioritizing privacy.

Company Stage

N/A

Total Funding

$182.6M

Headquarters

San Francisco, California

Founded

2011

Simplify Jobs

Simplify's Take

What believers are saying

  • LiveRamp's partnerships with major players like Google Cloud and Amazon Ads position it as a leader in data collaboration and identity resolution.
  • The company's expansion into the APAC market and the launch of its next-generation platform indicate strong growth potential.
  • Recent strategic investments and acquisitions, such as the acquisition of Habu, bolster LiveRamp's capabilities and market position.

What critics are saying

  • The rapidly evolving privacy regulations could pose challenges to LiveRamp's data-driven business model.
  • The competitive MarTech landscape requires continuous innovation to maintain a leading position.

What makes Live Ramp unique

  • LiveRamp's focus on identity resolution and data connectivity sets it apart in the MarTech sector, enabling precise people-based marketing.
  • The company's strong emphasis on privacy and responsible data use is a significant differentiator in today's privacy-conscious market.
  • LiveRamp's extensive ecosystem of partnerships and integrations, including recent collaborations with Google Cloud and Amazon Ads, enhances its platform's capabilities and reach.