Software Engineer, Big Data Platform

Key Skills

Apache Cassandra, Apache Hadoop, Apache Hive, Apache Pig, API, AWS, Azure, Database, Google Cloud Platform (GCP), Java Programming, Kubernetes-K8s, Python Programming, Scala Programming, Snowflake, Spark Core

Job Description

LiveRamp is the data collaboration platform of choice for the world’s most innovative companies. A groundbreaking leader in consumer privacy, data ethics, and foundational identity, LiveRamp is setting the new standard for building a connected customer view with unmatched clarity and context while protecting precious brand and consumer trust. LiveRamp offers complete flexibility to collaborate wherever data lives to support the widest range of data collaboration use cases—within organizations, between brands, and across its premier global network of top-quality partners.

Hundreds of global innovators, from iconic consumer brands and tech giants to banks, retailers, and healthcare leaders turn to LiveRamp to build enduring brand and business value by deepening customer engagement and loyalty, activating new partnerships, and maximizing the value of their first-party data while staying on the forefront of rapidly evolving compliance and privacy requirements.

The Data Management team provides cutting edge data access capabilities to our customers at petabyte scale. We are now evolving our system into a modern, cloud-agnostic, SQL-based data warehouse. You will have an immediate impact in solving our most challenging problems.

You will:

• Work on a massively scalable data management system that performs operations on petabytes of data with real-time segmentation. If you enjoy advanced distributed databases and indexing strategies, this could be a good fit.
• Tackle challenging problems such as implementing SOA and Kubernetes at scale and overhauling our data tier on GCP and beyond.
• Own product features from the development phase through to production deployment.
• Evaluate big data technologies and prototype solutions to improve our data processing architecture.

Your team will:

• Provide advanced data management and segmentation capabilities to our internal and external customers.
• Iterate on our next gen architecture as we revolutionize data management and processing for our customers, reducing processing times from days to minutes.
• Discover and deliver innovative solutions to our customers’ most difficult challenges at mind-boggling scale.

About you:

• 2+ years of experience writing and deploying production code
• Solid programming skills in Java or Scala
• Understanding of large-scale data processing systems and distributed databases
• Experience with Cloud providers like AWS, Azure, GCP
• Bachelors or Masters in Computer Science, Information Technology, Engineering, or related field or commensurate work experience

Bonus Points:

• GCP
• Kubernetes
• Spring Boot
• Modern distributed databases such as SingleStore, Snowflake, Cassandra
• Data processing frameworks: Hadoop, Spark, Hive, Pig
• Stream processing frameworks: Spark streaming, Apache Kafka, Apache Storm, Flink
• Search indexing: Lucene, Solr, Elasticsearch
• Designing and implementing interfaces and infrastructure for large volume services and RESTful APIs

The approximate annual base compensation range is $117,500 to $199,500. The actual offer, reflecting the total compensation package and benefits, will be determined by a number of factors including the applicant's experience, knowledge, skills, and abilities, geography, as well as internal equity among our team.