Principal software engineer- data analytics

3 weeks ago

Pune, India PubMatic Full time

We are seeking the Principal Software Engineer-Data Analytics role for Pub Matic-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 Pub Matic 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 Pub Matic 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 (Map Reduce, Spark, Hive, Kafka, Oozie, Airflow)

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