- Build, design, and implement our highly scalable, fault-tolerant, highly available 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, Presto, etc.
- Developing analytics applications ground up 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 data collection and processing to provide real-time data analytics.
- Customize PubMatic's reporting and analytics platform based on customers' 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, cross-functional teams, and other stakeholders, and ensure successful delivery of projects.
- Use various mechanisms established to fetch data from different external data sources and reconcile them with PubMatic's processed data.
- Collaborate with functional teams to build products to deliver end-to-end products and features and fix bugs for better performance.
- Develop robust & and fault-tolerant systems and monitor implications of changes on the data processing pipeline and performance.
- Leveraging a broad range of PubMatic's 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 functionality of PubMatic software.
- Expertise in developing Implementation of professional software engineering best practices for the full software development life cycle, including coding standards, performing code reviews, committing to Github, preparing documents in Confluence, continuous delivery using Jenkins, automated testing, and operations.
- Participate in Agile/Scrum processes such as sprint planning, sprint retrospective, backlog grooming, user story management, work item prioritization, etc.
- Frequently discuss with product managers about the software features to include in the PubMatic Data Analytics platform. Understand the technical aspects of customer requirements from product managers.
- Keep in regular touch with the quality engineering team which ensures the quality of the platforms/products and performance SLAs of java based micro services and spark-based data pipeline.
- Support customer issues over email or JIRA (bug tracking system), provide updates, and patches to customers to fix the issues.
- Discuss with the technical writing team about the technical documents that are published on the documentation portal.
- Perform code and design reviews for code implemented by peers or as per the code review process.
- 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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Principal Software Engineer - Pune, India - PubMatic
Description
PubMatic Data platform is one of the biggest in the tech industry with Peta Byte Scale data. Our cluster comprises of thousands of machines and multiple data centers 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 employing anti-patterns to build a highly scalable and robust data platform.
As part of team expansion, we're looking for a strong Software Development Engineer (Data) to work with us on highly scalable data platforms and services.
Job Description:
Qualifications:
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