Principal Software Engineer- Data Analytics

2 weeks 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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