Senior Software Engineer – Data Analytics

About The Role

We are looking for a highly motivated Senior Software Engineer – Data Analytics with experience to join our fast-paced engineering team. The ideal candidate takes full ownership of their work, thrives in cross-functional collaboration, and is passionate about building scalable, fault-tolerant big data systems. In this role, you will design and develop high-performance data platforms, mentor junior engineers, and contribute to delivering impactful analytics solutions that drive strategic business decisions.

What You’ll Do

• Design, build, and optimize scalable and fault-tolerant Big Data pipelines for batch and streaming workloads.
• Develop real-time streaming applications using Apache Spark Streaming or Flink.
• Work with Snowflake, Hadoop, Kafka, and Spark for large-scale data processing and analytics.
• Implement workflow orchestration using tools like Apache Airflow, Oozie, or Luigi.
• Develop backend services and REST APIs to serve analytics and data products.
• Collaborate with product managers, stack holders, and cross-functional teams to deliver data-driven solutions.
• Ensure data quality, governance, and security across the data ecosystem.
• Guide and mentor junior engineers, providing technical leadership and best practice recommendations.
• Perform code reviews, performance tuning, and troubleshoot distributed system issues.
• Drive innovation by evaluating and implementing new tools, frameworks, and approaches for data engineering.
  
  

We'd Love For You To Have

• 4–7 years of experience in Big Data & Analytics engineering.
• Strong programming skills in Java, Scala, or Python.
• Hands-on experience with Apache Spark, Hadoop, Kafka, and distributed data systems.
• Proficiency in SQL and experience with Snowflake (preferred) or other cloud data warehouses.
• Practical experience with workflow orchestration tools such as Airflow, Oozie, or Luigi.
• Strong foundation in data structures, algorithms, and distributed system design.
• Familiarity with cloud platforms (AWS, GCP, Azure) and related data services.
• Experience with containerization and orchestration (Docker, Kubernetes).
• Exposure to data observability, monitoring tools, and AI/ML integration with data pipelines.
• Experience in mentoring and guiding team members.
• Proven track record of working on cross-team collaboration projects.
• Strong problem-solving skills with the ability to take ownership and deliver end-to-end solutions.
  
  

Qualifications

• Should have a bachelor’s degree in engineering (CS / IT) or equivalent degree from a well-known Institute / University.
  
  

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.