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Job Description

PRIMARY OBJECTIVES:

• Build and maintain scalable data pipelines and datasets that support analytics, reporting, and downstream business systems.
• Develop data solutions on Databricks using established engineering patterns, reusable frameworks, and enterprise standards.
• Ensure reliable, high-quality, and performant data delivery across batch and, where relevant, streaming use cases.
• Support Takeda’s data transformation journey through solid engineering practices, collaboration, and scalable platform-aligned development.

RESPONSIBILITIES:
• Design, develop, test, and maintain scalable data pipelines and integrations using Databricks, PySpark, and SQL.
• Build datasets optimized for analytics, BI,



and downstream consumption while ensuring data quality, reconciliation, and production reliability.
• Work within established data frameworks, design patterns, and reusable components created by other engineering teams.
• Read, understand, troubleshoot, and extend existing codebases and pipeline logic in line with engineering standards.
• Collaborate with analytics, product, and business teams to support data models and data products for enterprise use cases.
• Contribute to unit, integration, and performance testing, documentation, and engineering best practices.
• Partner with platform, architecture, security, and DevOps teams to deploy and support pipeline solutions in cloud environments.
• Troubleshoot data and pipeline issues and drive continuous improvement in performance, scalability, and maintainability.

SCOPE OF SUPERVISION:
NUMBER SUPERVISED WORKERS
Direct
Indirect
Employees
0-3
0-3
Non-Employees

📌 Data Engineer (Bengaluru)
🏢 Takeda
📍 Bengaluru