Software Engineer- Data Analytics

3 months ago

pune, India PubMatic Full time

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, Hibernate.
  • Building data pipeline to automate high volume collection and processing to provide realtime 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, 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 PubMatic Data Analytics platform.
  • Support customer issues over email or JIRA (bug tracking system), provide updates, 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:

  • 2 to 6 years coding experience in Java.
  • Solid computer science fundamentals including data structure and algorithm design, and creation of architectural specifications.
  • Expertise in developing Implementation of professional software engineering best practices for the full software development life cycle, including coding standards, code reviews, source control management, documentation, build processes, automated testing, and operations.
  • A passion for developing and maintaining a high-quality code and test base, and enabling contributions from engineers across the team.
  • Expertise in big data technologies like Hadoop, Spark, Kafka, Snowflake etc would be an added advantage.
  • Experience in developing and delivering large scale big data pipelines, real-time systems & data warehouses would be preferred.
  • Demonstrated ability to achieve stretch goals in a very innovative and fast paced environment.
  • Demonstrated ability to learn new technologies quickly and independently.
  • Excellent verbal and written communication skills, especially in technical communications.
  • Strong inter-personal skills and a desire to work collaboratively.

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