BigData Developer

Job Description

• 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 stack such as Spark, Hadoop, Kafka, HBase, Hive, Presto etc.
• Developing analytics application ground up using modern technology stack such as Java, Spring, Tomcat, Jenkins, REST APIs, JDBC, Amazon Web Services, 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 customer’s requirements from customers and deliver scalable, production-ready solutions.
• Lead multiple projects to develop features for data processing and reporting platform, collaborate with product managers, cross-functional teams, 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.

Requirements

Qualifications

• 2 to 5 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, HBase 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.