Sr. Data Engineer

工作 ID 10153857 地點班加羅爾, 印度 有意工作的公司 Disney Entertainment and ESPN Product & Technology 日期已公佈 Jun. 15, 2026

申請

工作概要:

About the Team

We are a global media and technology organization building the data platforms that power entertainment, sports, streaming, and advertising products loved by hundreds of millions of users worldwide. Our Data Platforms team, part of a large Enterprise Technology organization, manages the entire data engineering lifecycle — from ingestion and transformation to data products consumed by Data Science, Analytics, and Product teams.

We are establishing Bangalore as a Strategic Engineering Hub and are looking for high-caliber data engineers at various levels from Junior data engineer to Sr Manager to join us in building the next generation of data platform. Serve various use cases involving marketing, entertainment, product data telemetry. You will work on petabyte-scale datasets, collaborate with US-based counterparts, and own the design and delivery of business-critical data pipelines, storage, processing layers.

What We Are Looking For

Experience

5+ years of hands-on data engineering experience building large-scale data pipelines in a production environment.
Industry background: Previous experience at a top-tier technology company, global product company, or data-intensive organization where you have worked with large-scale (TB to PB) datasets.
Demonstrated track record of owning and delivering complex data engineering solutions end-to-end, from design to production.

Technical Skills — Required

Python and Scala: Strong programming fundamentals in both languages; ability to write clean, efficient, production-grade code.
Apache Spark / PySpark: Hands-on experience building distributed data processing jobs at scale.
Databricks: Practical experience building, scheduling, and operating pipelines on Databricks (Delta Lake, Databricks workflows, Unity Catalog preferred).
Cloud — AWS: Strong familiarity with core AWS services: S3, EMR, EC2, Glue, IAM; experience building and deploying cloud-native data solutions.
SQL & MPP databases: Advanced SQL skills; hands-on experience with at least one MPP or cloud data warehouse (Snowflake, Redshift, or BigQuery).
Orchestration: Experience with Apache Airflow or equivalent workflow orchestration tools for managing complex pipeline DAGs.
Data Modelling: Solid grasp of data modelling concepts — dimensional modelling, star/snowflake schemas, data vault, or domain-oriented modelling.
Micro-services: Working knowledge on micro-services development.

申請

關於Disney Entertainment and ESPN Product & Technology:

在Disney Entertainment and ESPN Product & Technology，我們結合想像力與創新，以重新想像人們體驗和參與世上最受歡迎故事和產品的方式。我們的工作內容廣泛，且精深細密。我們創造令人驚豔的體驗、改變媒體的未來，並打造產品和平台，讓世界各地的人們都能與自己喜愛的故事和體育活動緊密相連。

Disney結合世界級技術與獨特創意，因而與眾不同。這是我們過去、現在和未來的核心。我們是故事敍述者和創新者。創作者和創建者。表演者和工程師。

關於 The Walt Disney Company:

Walt Disney Company 連同其子公司和聯營公司，是領先的多元化國際家庭娛樂和媒體企業，其業務主要涉及三個範疇：Disney Entertainment、ESPN 及 Disney Experiences。Disney 在 1920 年代的起步之初，只是一間卡通工作室，至今已成為娛樂界的翹楚，並昂然堅守傳承，繼續為家庭中每位成員創造世界一流的故事與體驗。Disney 的故事、人物與體驗傳遍世界每個角落，深入人心。我們在 40 多個國家/地區營運業務，僱員及演藝人員攜手協力，創造全球和當地人們都珍愛的娛樂體驗。

這個職位隸屬於 Disney (India) Private Limited，其所屬的業務部門是 Disney Entertainment and ESPN Product & Technology。

遇到技術問題？查看常見問題以尋求協助。