Senior Software Development Engineer - Big Data Backend at LiveRamp

San Francisco, California, United States

LiveRamp Logo
Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Technology, Data Privacy, Advertising TechIndustries

Requirements

  • Bachelor's degree in Computer Science, Engineering, or a related field
  • 5+ years of experience in software development, with a strong focus on data processing
  • 2+ years of hands-on experience managing/optimizing Big Data ecosystems (Spark, Hadoop/MR, Kafka)
  • Strong understanding of software architecture and design principles
  • Experience with Google Cloud Platform or other cloud platforms
  • Strong proficiency in Python and/or Java
  • Familiarity with SQL
  • Excellent problem-solving skills and attention to detail
  • Effective communication and collaboration skills
  • Preferred Skills
  • Familiarity with Airflow or similar orchestration tools
  • Familiarity with GCP products such as BigQuery, Dataproc, Dataflow, PubSub
  • Experience with infrastructure/deployment tools like Terraform
  • Familiarity with containerization technologies like Docker
  • Experience working in Agile development teams

Responsibilities

  • Build and maintain data pipelines that power the largest and most accurate identity resolution graph in the country
  • Collaborate with a supportive and passionate team of Data Analysts and Data Scientists that will provide insights to drive the development of new features that improve the quality of LiveRamp's Identity Graph
  • Make changes to cloud infrastructure resources according to the needs of your team, including creating BigQuery datasets, storage buckets, service accounts, making changes to network access policies, and managing access to those resources
  • Have the opportunity to learn and apply AI technologies to solve identity resolution-related problems
  • Build and maintain data pipelines that build LiveRamp's Identity Graph, which serves as the foundation for all of LiveRamp's products and services
  • Build and maintain the cloud infrastructure in which such pipelines are executed
  • Ensure our use of data is ethical and compliant with the most recent consumer privacy legislation
  • Explore new techniques, including the use of Deep Learning models, for improving the accuracy and reach of LiveRamp's Identity Graph

Skills

Key technologies and capabilities for this role

Big DataBackend DevelopmentData PipelinesIdentity ResolutionBigQueryCloud InfrastructureGCPAIMachine LearningData EngineeringStorage BucketsService AccountsNetwork Policies

Questions & Answers

Common questions about this position

What experience is required for this Senior Software Development Engineer role?

Candidates need a Bachelor's degree in Computer Science, Engineering, or related field, 5+ years of software development experience with a focus on data processing, and 2+ years managing Big Data ecosystems like Spark, Hadoop/MR, or Kafka.

What technical skills are essential for this position?

Required skills include strong proficiency in Python and/or Java, familiarity with SQL, experience with Google Cloud Platform or other clouds, and a strong understanding of software architecture and design principles.

Is remote work available for this role?

This information is not specified in the job description.

What is the salary or compensation for this position?

This information is not specified in the job description.

What does the team work on at LiveRamp?

The team builds and maintains data pipelines for LiveRamp's Identity Graph, manages cloud infrastructure, ensures ethical data use and privacy compliance, and explores techniques like Deep Learning to improve the graph's accuracy.

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.

San Francisco, CaliforniaHeadquarters
2011Year Founded
$15.6MTotal Funding
IPOCompany Stage
Data & Analytics, Consumer SoftwareIndustries
1,001-5,000Employees

Benefits

Health Insurance
Dental Insurance
Vision Insurance
Life Insurance
Disability Insurance
401(k) Company Match
Remote Work Options
Unlimited Paid Time Off
Paid Holidays
Paid Parental Leave
Employee Stock Purchase Plan
Wellness Program

Risks

Competitors' adoption of data clean rooms may dilute LiveRamp's market share.
DIRECTV partnership success depends on streaming platform user growth.
Life360's ad business growth could conflict with LiveRamp's existing clients.

Differentiation

LiveRamp offers a fully interoperable infrastructure for end-to-end addressability.
The platform ensures safe and responsible consumer data usage, crucial in today's privacy-conscious world.
LiveRamp's subscription model provides clients with data onboarding, identity resolution, and connectivity.

Upsides

Growing demand for data clean rooms enhances LiveRamp's market position.
Phasing out of third-party cookies boosts interest in identity resolution solutions.
Partnerships with streaming platforms expand LiveRamp's digital advertising reach.

Land your dream remote job 3x faster with AI