PubMatic is the automation solutions company for an open digital media industry. Featuring the leading omni-channel revenue automation platform for publishers and enterprise-grade programmatic tools for media buyers, PubMatic’s publisher-first approach enables advertisers to access premium inventory at scale. Processing nearly one trillion ad impressions per month, PubMatic has created a global infrastructure to activate meaningful connections between consumers, content and brands. Since 2006, PubMatic’s focus on data and technology innovation has fueled the growth of the programmatic industry as a whole. Headquartered in Redwood City, California, PubMatic operates 11 offices and six data centers worldwide.

PubMatic BigData Engineering group is responsible for building scalable, fault-tolerant, highly available & awesome big data platform handling PB’s of data across hundreds of millions of users that is behind PubMatic Analytics (Refer:http://www.pubmatic.com/analytics.php) for various analytics offerings. We work with large data volume flowing daily in PubMatic data centers in various geographies & build platform that ingest & process to perform reporting & analytics both real-time & batch for our internal & external customers.

We are looking for Team Lead responsible for delivering key solutions & major components of our data platform specific to the areas of high volume data ingestion & real-time processing.

Responsibilities

• Design, manage, innovate the Big Data platform, big data infrastructure, and big data workflow at PubMatic, scaling to 10PB in size, across multiple data centers, geographies and time zones. 
• Troubleshoot complex issues discovered in-house as well as in customer environments.
• Cultivate sustained innovation to deliver exceptional products to customers
• Ensure timely and top quality product delivery
• Ensure that the end product is fully and correctly defined and documented
• Ensure implementation/continuous improvement of formal processes to support product development activities
• Drive the architecture/design decisions needed to achieve cost-effective and high performance results
• Conduct feasibility analysis, produce functional and design specifications of proposed new features.

Required Skills

• 3+ years coding experience in Java, with solid CS fundamentals including data structure and algorithm design, and creation of architectural specifications.
• 3+ years contributing to R&D and production deployments of large backend systems, with at least 2 years supporting big data use cases.
• 2+ years of experience designing and implementing data processing pipelines with a combination of the following technologies: Hadoop, Map Reduce, YARN, Spark, Hive, Kafka, Avro, SQL and NoSQL data warehouses.
• Proven experience in handling at least 1-2 complex Big Data projects 
• Expertise handling Hadoop Ecosystems on Linux platform
• 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.
• 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.
• Recent experience in working with Startups is highly preferred.
• Experience in handling Engineering escalations from customers will be preferred
• Demonstrated ability to motivate and innovate, excellent team building and leadership skills
• Able to communicate clearly and effectively with all levels
• Strong operational and project management skills in a product development environment     

• Minimum experience: 4 years
• Bachelors or Master’s Degree in Engineering
  

All your information will be kept confidential according to EEO guidelines.