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
FinTech Engineering
Software Engineering
Required Skills
Kubernetes
MySQL
Data Science
Apache Spark
SQL
Apache Kafka
Java
Postgres
Docker
Scala
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).
  • Passion for building large-scale systems and writing high-performance code.
  • Extensive knowledge and working experience with data processing platforms such as Hadoop, Spark, Hive, and Pig.
  • You have excellent data analytics skills and can explore and identify data issues.
  • 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.
  • You love mentoring junior engineers and implementing best practices.
  • 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. 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.

Company Stage

IPO

Total Funding

$15.6M

Headquarters

San Francisco, California

Founded

2011

Simplify Jobs

Simplify's Take

What believers are saying

  • Increased adoption of data clean rooms highlights privacy-centric data collaboration opportunities.
  • Partnerships with companies like MobileFuse show success in leveraging first-party data solutions.
  • International expansion with Environics Analytics reflects growing demand for data collaboration.

What critics are saying

  • Privacy-centric solutions like Apple's ATT may limit data collection capabilities.
  • Deprecation of third-party cookies poses challenges to data connectivity services.
  • Data privacy regulations like GDPR may increase compliance costs for LiveRamp.

What makes Live Ramp unique

  • LiveRamp offers a fully interoperable infrastructure for end-to-end addressability.
  • The platform ensures safe and responsible consumer data usage.
  • LiveRamp's Authenticated Traffic Solution enhances identity solutions in streaming platforms.

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