Base: $162,553 - $242,353 py; bonus/equity: u.s. b...
On-site
Design and implement data pipelines
Develop and manage enterprise data lakes
Build and orchestrate etl/elt workflows
Takeda Development Center Americas, Inc. is seeking a Senior Data Engineer to develop and maintain data infrastructure and pipelines for advanced analytics. The role requires expertise in data lakes, ETL/ELT workflows, and collaboration with stakeholders, primarily based in Cambridge, MA, with potential for remote work
Job Summary
Architect, develop, and maintain scalable, high-performance data infrastructure and pipelines to support advanced analytics, business intelligence, and data science initiatives.
Lead the development and management of enterprise-level data lakes and data warehouses to enable efficient data storage, transformation, and integration.
Collaborate with analysts and stakeholders to understand business requirements and deliver robust data engineering solutions on cloud platforms.
Matching Summary
Match Score: 85
Takeda Development Center Americas, Inc. is seeking a Senior Data Engineer to develop and maintain data infrastructure and pipelines for advanced analytics. The role requires expertise in data lakes, ETL/ELT workflows, and collaboration with stakeholders, primarily based in Cambridge, MA, with potential for remote work.
Salary
Base: $162,553 - $242,353 per year; Bonus/Equity: U.S. based employees may be eligible for short-term and/or long-term incentives; Benefits: medical, dental, vision insurance, a 401(k) plan and company match, short-term and long-term disability coverage, basic life insurance, a tuition reimbursement program, paid volunteer time off, company holidays, and well-being benefits, sick time, and paid vacation
Skills & Requirements
Must-have
design and implement data pipelines
develop and manage enterprise data lakes
build and orchestrate ETL/ELT workflows
design logical and physical data models
cloud platforms
Nice-to-have
advanced analytics
business intelligence
data science initiatives
Key Requirements
Master’s degree in Computer Science, Data Analytics, Information Technology or related field
3 years of related experience
Prior experience designing and maintaining scalable data pipelines
Prior experience implementing and managing data lakes and warehouses
Prior experience developing and orchestrating ETL/ELT workflows
Prior experience designing logical and physical data models