Senior Data Engineer
Role details
Job location
Tech stack
Job description
POSITION DESCRIPTION: Takeda Development Center Americas, Inc. is seeking a Senior Data Engineer with the following duties: Architect, develop, and maintain scalable, high-performance data infrastructure and pipelines to support advanced analytics, business intelligence, and data science initiatives; Design and implement data pipelines for structured and unstructured data from diverse sources; Lead the development and management of enterprise-level data lakes and data warehouses to enable efficient data storage, transformation, and integration; Build and orchestrate ETL/ELT workflows using SQL and Python to ensure reliable data processing; Design logical and physical data models to support analytical use cases; Collaborate with analysts and stakeholders to understand business requirements and deliver robust data engineering solutions on cloud platforms. 100% remote work allowed., Job Description: Saab Inc., Autonomous and Undersea Systems division is seeking an innovative and experienced Senior Mechanical Engineer to guide others on technical teams in cap…
- 14 days ago, What you will do Under minimal direction, participates as a leader of the Development Team to achieve department and project objectives on medium to large projects. Leads enginee…
- 15 days ago
Requirements
U.S. based employees may be eligible for short-term and/or long-term incentives. U.S. based employees may be eligible to participate in 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, among others. U.S. based employees are also eligible to receive, per calendar year, up to 80 hours of sick time, and new hires are eligible to accrue up to 120 hours of paid vacation. REQUIREMENTS: Master's degree in Computer Science, Data Analytics, Information Technology or related field plus 3 years of related experience. Prior experience must include: Design and maintain scalable data pipelines for structured and unstructured data; Implement and manage data lakes and warehouses; Develop and orchestrate ETL/ELT workflows for data transformation and integration; Design logical and physical data models to support analytics use cases.
