Senior Data Engineer
The Walt Disney Company · Bengaluru
- Experience7–11 yrs
- SalaryNot disclosed
- Work modeonsite
- Levelexecutive
- Posted2 Sept 2026
About The Walt Disney Company
The Walt Disney Company is hiring in Bengaluru in media advertising. This role looks for around 7+ years of experience.
Skills
- Scala
- Python
- SQL
- Spark
- Hive
- Presto
- Amazon Web Services
- Google Cloud Platform
- Microsoft Azure
- Databricks
- Snowflake
- Terraform
- AWS CloudFormation
- Agile
- Scrum
- Kanban
- data engineering
The role
A data engineer at a media and entertainment company builds and supports data pipelines and data lakes using Scala, Python, and SQL, with Spark, cloud platforms, and infrastructure as code. The role shapes technical decisions, mentors engineers, and applies data engineering methods at scale.
Full job description
As a Senior Data Engineer, you will be responsible for writing and reviewing code, contributing to technical decisions, and mentoring engineers in your squad. You will be empowered to contribute to technical and architectural decisions, and to influence the roadmap for your squad, working in partnership with your local leader, your squad, and your peers across Product, Project Management and Engineering. You will contribute to and be part of an engaging, dynamic and inclusive engineering organisation, grounded in scrum and agile practices, CI/CD, great collaboration, functional programming, and motivated by a commitment to continuous learning and improvement.
Responsibilities:
Contribute to the design, development, testing, deployment, and support of data pipelines and data lakes.
Promote and support Agile methodologies such as Scrum, Kanban, and Scrum ban by actively participating in regular ceremonies such as stand-up, retrospectives and sprint planning.
Mentor engineers within your squad (and beyond! ) to help them improve their technical ability and build their profile within and outside of the organisation.
Collaborate with your squad, Product Managers, Designers, QA, Operations, and other stakeholders to understand requirements and articulate technical decisions and outcomes.
Requirements:
Familiarity with the following languages: Scala, Python and SQL.
Familiarity with at least one of the following: Spark, Hive, or Presto.
Familiarity with data engineering methods and their application at scale.
Familiarity with at least one of the following cloud providers: Amazon Web Services (AWS), Google Cloud Compute (GCP), or Microsoft Azure.
Familiarity with Databricks or Snowflake products.
Familiarity with Terraform, CloudFormation, or another infrastructure as code (IaC) tool.
Bachelor's degree in Computer Science, Information Systems, Software, Electrical or Electronics Engineering, or comparable field of study, and/or equivalent work experience.
Minimum of 5 years of related work experience.