Software Engineer - Data Analytics (On Contract)

Job Description

About The Role PubMatic is seeking a Data Analytics-focused Software Engineer (Direct Contractor) with 1?2 years of hands-on experience in software development. The ideal candidate should have a strong foundation in Big Data technologies such as Hadoop, Spark, Scala, Kafka, and cloud-based systems, along with programming proficiency in Java, Scala, and Python. In this role, you will contribute to building and optimizing PubMatic?s data analytics and processing pipelines, enhancing the platform?s scalability, reliability, and analytical capabilities. The candidate should also have basic knowledge of GenAI concepts to understand the evolving analytics landscape. What You?ll Do Big Data Platform Development Design, develop, and implement a highly scalable and fault-tolerant Big Data platform to process large volumes of data efficiently. Build and maintain data pipelines using technologies such as Spark, Hadoop, Kafka, and Snowflake. Collaborate with cross-functional teams to enhance data ingestion, transformation, and analytics capabilities. Backend Engineering Develop and maintain backend services using Java, REST APIs, JDBC, and AWS-based services. Ensure services are robust, secure, and optimized for performance and scalability. Participate in code reviews and contribute to best practices for design and development. Collaboration and Process Work closely with product managers, data scientists, and platform engineers to design scalable solutions aligned with business goals. Participate actively in Agile/Scrum processes, including sprint planning, retrospectives, backlog grooming, and story estimation. Support customer issues via email or JIRA by providing updates, debugging, and deploying patches. Contribute to maintaining system reliability and improving platform availability and observability. We?d Love for You to Have 1?2 years of hands-on experience in software development, preferably in backend or data engineering roles. Strong programming skills in Java, with working knowledge of Scala and Python. Solid understanding of data structures, algorithms, and object-oriented design principles. Basic exposure to Big Data frameworks such as Spark, Hadoop, Kafka, and data warehouse systems like Snowflake. Familiarity with cloud platforms (AWS preferred) and containerized environments (Docker/Kubernetes is a plus). Basic knowledge of Generative AI (GenAI) and its applications in data and analytics. Strong analytical, debugging, and problem-solving skills. Excellent communication skills, both written and verbal. A collaborative mindset and ability to work in a fast-paced, dynamic environment. Qualifications Should have a bachelor?s degree in engineering (CS / IT) or equivalent degree from a well-known Institutes / Universities. Strong academic foundation in software engineering and data systems. Additional Information Return 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 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. About PubMatic PubMatic is one of the world?s leading scaled digital advertising platforms, offering more transparent advertising solutions to publishers, media buyers, commerce companies and data owners, allowing them to harness the power and potential of the open internet to drive better business outcomes. Founded in 2006 with the vision that data-driven decisioning would be the future of digital advertising, we enable content creators to run a more profitable advertising business, which in turn allows them to invest back into the multi-screen and multi-format content that consumers demand.