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Product Software Engineer II

Job ID 10164621 Location Bengaluru, India Business Disney Entertainment and ESPN Product & Technology Date posted Nov. 13, 2026
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Job Summary:

Job Requirements

Department/Group Overview: The Data Platform & BI Engineering team sits within Disney Entertainment and ESPN Product & Technology’s Ad Platforms organization. The team builds and operates the data and analytics platforms that power Disney’s Converged, Linear, and Addressable advertising businesses, and delivers the self-serve BI and insights dashboards, reporting portals, and measurement pipelines that give stakeholders across the company visibility into advertising performance, revenue, and delivery across Disney’s media properties, including Hulu, Disney+, ESPN, and ABC.


Job Summary:

We are seeking a skilled and passionate Product Development Engineer II to join our Data Platform & BI Engineering team as a Full Stack Engineer. In this role, you will design and build custom analytics and BI dashboards end-to-end — from backend data services and APIs (Java/Spring Boot or Python) to dashboard-facing front-end applications (React/Angular/Vue) — backed by wellmodeled data in Snowflake and orchestrated via Airflow. You will bring a strong analytics and BI quotient, translating business and reporting needs into scalable, high-performance insights products.


Bonus: Experience in Ad Tech, particularly Linear or Addressable Advertising, is a strong plus. Good to have: Experience with Databricks (Unity Catalog, Delta Lake) and Apache Spark is a plus, but not required.


Responsibilities and Duties of the Role:

Design, build, and support custom analytics and BI dashboards end-to-end — both backend data services and front-end UI — using modern front-end frameworks (React, Angular, or Vue) and backend services (Java/Spring Boot or Python).

● Design and build data pipelines and workflows using Python and Airflow to feed dashboard, reporting, and self-serve analytics datasets (Spark/Databricks experience a plus).

● Design and expose RESTful APIs and microservices that connect BI dashboards and front-end applications to underlying data platforms.

● Collaborate with Data Scientists, Analysts, BI developers, and Product partners to deliver wellmodelled datasets and production-grade dashboard products.

● Improve system observability across pipelines and applications by implementing metrics, monitoring, and alerting.

● Develop robust unit and integration tests, perform code reviews, and champion clean-code, automated-testing, and agile best practices.

● Mentor and support teammates through code reviews, documentation, and informal guidance (no direct reports).

● Participate in on-call rotations as part of the team’s commitment to operational excellence.

● Contribute to documentation and reusable code/component libraries for the BI platform, and use approved AI-assisted engineering tools in line with company policy.


Required Education, Experience/Skills/Training: Basic Qualifications

● 2-5 years of hands-on software/data engineering experience, preferably with a digital media or digital advertising company.

● Proven experience building custom analytics/BI dashboards end-to-end, spanning both backend data services and front-end visualization layers — this is a must-have for the role.

● Proficiency in at least one backend language such as Java (Spring Boot) or Python, and one modern front-end framework such as React, Angular, or Vue.

● Strong SQL experience, including writing and optimizing complex queries against distributed data stores such as Databricks, Snowflake, Hive, Presto, or Aurora.

● Experience with data pipeline and workflow orchestration tools such as Apache Airflow.

● Experience with RESTful APIs, microservices, and distributed systems.

● Strong background in relational databases (MySQL, Postgres), including schema and query design.

● Strong analytics and BI quotient — ability to translate business and reporting questions into effective data models and visualizations.

● Experience delivering products in an agile software development environment, including sprint work in Jira.

● Experience working with large datasets (terabytes or more).

● Strong analytical, communication, and cross-team collaboration skills, with the ability to explain complex concepts to both technical and non-technical audiences.


Preferred Qualifications

● Experience with Databricks (Unity Catalog, Delta Lake) and Apache Spark for large-scale data processing — good to have, not required.

● Experience in Ad Tech, particularly Linear, Addressable, or Programmatic advertising.

● Experience with data streaming technologies such as Apache Kafka or AWS Kinesis.

● Experience with cloud platforms, particularly AWS (S3, EMR, Glue, Lambda). ● Experience with modern DevOps tools such as Docker, Kubernetes, and Terraform.

● Experience with network topologies, systems architecture overviews, and entity relationship diagrams (ERD).

● Strong presentation and documentation skills, including experience with Confluence, PowerPoint, and Lucid Chart.


Required Education

● Bachelor’s degree in Computer Science, Data Analytics or Science, Applied Mathematics, Statistics, a related technical field, or equivalent experience.





Disclaimer

This position is with Disney (India) Private Limited, which is part of a business we call Disney Entertainment and ESPN Product & Technology.

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About The Walt Disney Company:

The Walt Disney Company, together with its subsidiaries and affiliates, is a leading diversified international family entertainment and media enterprise that includes three core business segments: Disney Entertainment, ESPN, and Disney Experiences. From humble beginnings as a cartoon studio in the 1920s to its preeminent name in the entertainment industry today, Disney proudly continues its legacy of creating world-class stories and experiences for every member of the family. Disney’s stories, characters and experiences reach consumers and guests from every corner of the globe. With operations in more than 40 countries, our employees and cast members work together to create entertainment experiences that are both universally and locally cherished.

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