Data Engineering Lead

Takeda

Bengaluru, India
Base: not specified; bonus/equity: performance ann...
Hybrid
Data engineering lead
Scalable enterprise data architectures
High-quality data pipelines
Takeda is seeking a Data Engineering Lead for their Innovation Capability Center in Bengaluru, India. This role involves leading a data engineering team to design, build, and optimize scalable data architectures and pipelines, contributing to the company's digital transformation efforts

Job Summary

  • As a Data Engineer Lead, you will provide technical and team leadership in designing, building, and optimizing scalable enterprise data architectures and high-quality data pipelines that deliver trusted, actionable insights across the business.
  • You will lead, mentor, and grow a high-performing data engineering team within the ICC’s strategic capability, fostering engineering excellence, ownership, and continuous learning.
  • Takeda is committed to creating an inclusive and collaborative workplace, where individuals are recognized for their backgrounds and abilities they bring to our company.

Matching Summary

Match Score: 85

Takeda is seeking a Data Engineering Lead for their Innovation Capability Center in Bengaluru, India. This role involves leading a data engineering team to design, build, and optimize scalable data architectures and pipelines, contributing to the company's digital transformation efforts.

Salary

Base: Not specified; Bonus/Equity: Performance Annual Bonus; Benefits: Comprehensive Healthcare Insurance Plans, Group Term Life Insurance, Group Accident Insurance, Employee Assistance Program, Broad Variety of learning platforms, Diversity, Equity, and Inclusion Programs, Reimbursements – Home Internet & Mobile Phone, Employee Referral Program, Paternity Leave (4 Weeks), Maternity Leave (up to 26 weeks), Bereavement Leave (5 calendar days)

Skills & Requirements

Must-have

  • Data Engineering Lead
  • Scalable enterprise data architectures
  • High-quality data pipelines
  • Spark distributed computing
  • Databricks Lakehouse architecture
  • Python, SQL, and PySpark proficiency
  • AWS cloud services experience

Nice-to-have

  • Agile delivery culture
  • Continuous learning
  • Cross-functional collaboration
  • Cost optimization strategies
  • Data quality and governance

Key Requirements

  • 10+ years of experience in data engineering
  • Proven team leadership experience
  • Bachelor's degree in Engineering, Computer Science, Data Science, or related field
  • Experience with modern data architectures
  • Experience with AWS cloud services
  • Experience with Databricks Unity Catalog

Work Rights

Not specified

Tailored Resume

Cover Letter