Job Description

PubMatic (Nasdaq: PUBM) is an independent technology company maximizing customer value by delivering digital advertising's supply chain of the future.PubMatic's sell-side platform empowers the world's leading digital content creators across the open internet to control access to their inventory and increase monetization by enabling marketers to drive return on investment and reach addressable audiences across ad formats and devices.Since 2006, our infrastructure-driven approach has allowed for the efficient processing and utilization of data in real time. By delivering scalable and flexible programmatic innovation, we improve outcomes for our customers while championing a vibrant and transparent digital advertising supply chain.Position DescriptionPubMatic Data platform is one of the biggest in tech industry with Peta Byte Scale data. Our cluster comprises of thousands of machines and multiple data centres spread across the globe . Given the super high data throughput and scale challenge many proven Big Data tools at times have failed for our use cases. With the help of our brilliant engineering team we have come up with many smart innovative ideas, sometimes employed anti patterns to build a highly scalable and robust data platform.As part of team expansion, we're looking for strong Software Development Engineer (Data) to work with us to highly scalable data platforms and services.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:

• 6+ years of proven experience in designing, implementing and delivering complex, scalable and resilient platform 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 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)

#LI-DNIReturn to Office: PubMatic employees throughout the global have returned to our offices via a hybrid work schedule (3 days in office and 2 days working remotely) that is intended to maximize collaboration, innovation, and productivity among teams and across functions.Benefits: Our benefits package includes the best of what leading organizations provide, such as stock options, paternity/maternity leave, healthcare insurance, broadband reimbursement. As well, when we're back in the office, we all benefit from a kitchen loaded with healthy snacks and drinks and catered lunches and much more!Diversity and Inclusion: PubMatic is proud to be an equal opportunity employer; we don\'t just value diversity, we promote and celebrate it. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

PubMatic