Principal Software Engineer- Data Analytics

2 months ago

pune, India PubMatic Full time

We are seeking the Principal Software Engineer-Data Analytics role for PubMatic-Pune.

Responsibilities:

  • Build, design, and, implement our highly scalable, fault-tolerant big data platform to process terabytes of data and provide customers with in-depth analytics.
  • Developing Big Data pipelines using modern technology stacks such as Spark, Hadoop, Kafka, HBase, Hive, and Presto.
  • Developing analytics applications using modern technology stacks such as Java, Spring, Tomcat, Jenkins, REST APIs, JDBC, Amazon Web Services, and Hibernate.
  • Building data pipeline to automate high-volume collection and processing to provide real-time data analytics.
  • Customize reporting and analytics platform based on customer’s requirements from customers and deliver scalable, production-ready solutions.
  • Lead multiple projects to develop features for data processing and reporting platforms, and collaborate with product managers, and cross-functional teams.
  • Collaborate with functional teams to build products to deliver end-to-end products and features and fix bugs for better performance.
  • Develop robust & fault tolerant systems and monitor implications of changes on data processing pipeline and performance.
  • Leveraging a broad range of data architecture strategies and proposing both data flows and storage solutions.
  • Managing Hadoop map-reduce and spark jobs and solving any ongoing issues with operating the cluster.
  • Working closely with cross-functional teams on improving the availability and scalability of large data platforms and the functionality of PubMatic software.
  • Participate in Agile/Scrum processes such as sprint planning, sprint retrospective, backlog grooming, user story management, and work item prioritization.
  • Frequently discuss with product managers about the software features to include in the PubMatic Data Analytics platform.
  • Support customer issues over email or JIRA (bug tracking system), and provide updates, and patches to customers to fix the issues.
  • Perform code and design reviews for code implemented by peers or as per the code review process.

Requirements:

  • 6+ years of proven experience in designing, implementing, and delivering complex, scalable, and resilient platforms and services
  • Experience in building high throughput big data platforms and systems
  • Hands-on experience in big data technologies (Spark/Kafka/Spark streaming) and other open-source data technologies
  • Experience in OLAP (Snowflake, Vertica, or similar) would be an added advantage.
  • Ability to understand vague business problems and convert them into working solutions
  • Excellent spoken and written interpersonal skills with a collaborative approach.
  • Dedication to developing high-quality software and products
  • Curiosity to explore and understand data is a strong plus
  • Deep understanding of big data and distributed systems (MapReduce, Spark, Hive, Kafka, Oozie, Airflow)

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