Sr. Data Engineer - 3

The Walt Disney Company · Bengaluru

  • Experience8–12 yrs
  • SalaryNot disclosed
  • Work modeonsite
  • Levelexecutive
  • Posted2 Sept 2026
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About The Walt Disney Company

The Walt Disney Company is hiring in Bengaluru in media advertising. This role looks for around 8+ years of experience.

Skills

  • AWS
  • Databricks
  • Terraform
  • ETL/ELT
  • PySpark
  • Delta Lake
  • Databricks Workflows
  • Infrastructure as Code
  • Amazon S3
  • AWS Lambda
  • AWS IAM
  • Amazon EKS
  • AWS Batch
  • Amazon CloudWatch
  • Apache Kafka
  • Amazon Kinesis
  • CI/CD
  • GitHub Actions
  • Jenkins
  • Databricks Asset Bundles

The role

A data engineer at a media and entertainment company designs enterprise data platforms and builds batch and streaming pipelines with PySpark and Databricks, while automating cloud infrastructure with Terraform and integrating AWS services. The role also applies Apache Kafka and CI/CD practices to deliver reliable data ecosystems.

Full job description

We are seeking an experienced Senior Data Engineer to design, build, and optimize enterprise-scale data platforms on AWS using Databricks and Terraform. In this role, you will architect robust ETL/ELT pipelines, implement event-driven architectures, and enforce Infrastructure as Code (IaC) best practices. You will collaborate closely with data science, analytics, and platform engineering teams to maintain automated, reliable, and secure data ecosystems.

Responsibilities:

Data Platform and Pipeline Engineering: Architect and deploy high-performance batch and streaming pipelines using PySpark, Delta Lake, and Databricks Workflows.

Infrastructure as Code (IaC): Provision, manage, and scale cloud infrastructure, Databricks workspaces, clusters, storage (S3), and access controls using Terraform.

Cloud and Event-Driven Integration: Integrate cloud-native AWS services (S3 Lambda, IAM, EKS/Batch, CloudWatch) and streaming platforms (Apache Kafka/Kinesis) into enterprise data pipelines.

CI/CD and Operational Excellence: Implement automated CI/CD deployments using tools like GitHub Actions, Jenkins, and Databricks Asset Bundles (DAB).