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Lead Data Engineer

Takeda is a global pharmaceutical company focused on innovation with over 30,000 professionals working across 70+ countries.
$147,000 - $244,400
Data
Staff Software Engineer
Hybrid
5,000+ Employees
3+ years of experience
Healthcare · Biotech

Description For Lead Data Engineer

Takeda Pharmaceuticals, a leading global pharmaceutical company with over 230 years of history, is seeking a Lead Data Engineer to join their team. This role offers a competitive salary range of $147,000 - $244,400 and allows for up to 70% remote work flexibility. The position will be instrumental in building and maintaining data infrastructure that supports all therapeutic areas across the company.

The Lead Data Engineer will be responsible for partnering with RDBU stakeholders to develop and implement data product strategies, create scalable data pipelines using AWS technologies, and lead technical solutions. The role requires expertise in handling complex data systems including Veeva and Elluminate, and working with specialized healthcare data formats like SDTM and ADaM.

The ideal candidate will have a Master's degree in Data Analytics or related field, with at least 3 years of experience in data engineering. Strong knowledge of Hadoop, MPP databases, and AWS native technologies is essential. This position offers an opportunity to work at the intersection of healthcare and technology, contributing to Takeda's mission of providing better health and brighter futures for people worldwide.

Working at Takeda means joining a team of 30,000+ professionals across 70+ countries, united by the values of Integrity, Fairness, Honesty, and Perseverance. The company maintains a strong commitment to innovation and patient-first approach, making it an ideal environment for those looking to make a meaningful impact in healthcare through data engineering.

Last updated a day ago

Responsibilities For Lead Data Engineer

  • Partner with RDBU stakeholders to build business acumen and understand strategy
  • Co-develop RDBU data product strategy
  • Develop and own product roadmaps
  • Analyze business requirements and evaluate solution options
  • Develop and maintain data pipelines
  • Lead technical solution reviews
  • Support complex data challenges
  • Take accountability for RDBU data products
  • Work with DevOps teams for operationalization
  • Design and mature data architectures
  • Lead implementation of emerging tools and processes

Requirements For Lead Data Engineer

  • Master's degree in Data Analytics, Business Analytics, Data Engineering or related field
  • 3 years of prior experience
  • Experience with AWS native technologies
  • Experience with EDC and external vendor data systems (Veeva and Elluminate)
  • Knowledge of SDTM, ADaM and TLF data
  • Experience with Hadoop architecture and HDFS commands
  • Experience with Massively Parallel Processing (MPP) databases
  • Ability to design and manage large scale data structures and pipelines

Benefits For Lead Data Engineer

Medical Insurance
  • Competitive compensation
  • Benefits package
  • 70% remote work allowed

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