Financial Analytics Data Engineers

Daiichi Sankyo
Bridgewater, NJ, United States
15 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Compensation
$127,280.0 - $190,920.0
Working hours
Regular working hours

Tech stack

Artificial Intelligence Data Analysis Information Systems Data Architecture Data Centers Data Validation Information Engineering Data Governance Data Integration Data Transformation SAP (Applications) Software Engineering
+6 more
Load Balancing Cloud Platform System Semi-structured Data Information Technology Data Management Data Pipelines

Job description

We use cookies to offer you the best possible website experience. Your cookie preferences will be stored in your browser’s local storage. This includes cookies necessary for the website’s operation. Additionally, you can freely decide and change any time whether you accept cookies or choose to opt out of cookies to improve website’s performance, as well as cookies used to display content tailored to your interests. Your experience of the site and the services we are able to offer may be impacted if you do not accept all cookies. Modify Cookie Preferences Reject All Cookies Accept All Cookies Search Jobs Search Jobs, This role collaborates closely with Financial Analytics Product Managers, Data Scientists, and further functions to translate analytical and product requirements into scalable data and analytics products. The role contributes to the development, operation and continuous improvement of data products and analytical capabilities by supporting data integration, transformation, operationalization and delivery activities. To be successful in this role, it requires strong technical problem-solving capabilities, engineering discipline and the ability to develop scalable solutions while balancing performance, maintainability and usability. The role focuses on the following key responsibility areas: - Design, develop and maintain scalable data pipelines, transformation logic, reusable datasets and data products for Financial Analytics use cases - Translate analytical and product requirements into scalable technical implementations and enable operationalization of analytical assets in productive environments - Apply data validation, monitoring and quality controls to ensure reliable, trusted and maintainable data foundations - Collaborate with Financial Analytics Product Managers, Data Scientists, Global DX and technical teams to align solutions with enterprise architecture, engineering standards and delivery requirements - Enable innovation and continuous improvement by evaluating modern data engineering approaches, improving scalability and maintainability, and ensuring compliance with data governance and security standards, This role collaborates closely with Financial Analytics Product Managers, Data Scientists, and further functions to translate analytical and product requirements into scalable data and analytics products. The role contributes to the development, operation and continuous improvement of data products and analytical capabilities by supporting data integration, transformation, operationalization and delivery activities. To be successful in this role, it requires strong technical problem-solving capabilities, engineering discipline and the ability to develop scalable solutions while balancing performance, maintainability and usability. The role focuses on the following key responsibility areas:

  • Design, develop and maintain scalable data pipelines, transformation logic, reusable datasets and data products for Financial Analytics use cases
  • Translate analytical and product requirements into scalable technical implementations and enable operationalization of analytical assets in productive environments
  • Apply data validation, monitoring and quality controls to ensure reliable, trusted and maintainable data foundations
  • Collaborate with Financial Analytics Product Managers, Data Scientists, Global DX and technical teams to align solutions with enterprise architecture, engineering standards and delivery requirements
  • Enable innovation and continuous improvement by evaluating modern data engineering approaches, improving scalability and maintainability, and ensuring compliance with data governance and security standards

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Requirements

Education Qualifications Bachelor’s Degree required Master’s Degree Data engineering, computer science, software engineering, information systems, data science, mathematics, finance or a related field preferred Experience Qualifications 5+ year data engineering, analytics engineering, software engineering, data management or related fields, preferably supporting analytics or AI use cases in the finance domain required Experience building and maintaining scalable data pipelines and analytical data solutions required Experience with structured and semi-structured data environments and data transformation concepts required Proven ability to work in cross-functional delivery environments and collaborate across various technical teams required Understanding of cloud-based data platforms, data architectures and modern engineering practice preferred Experience in industries such as pharmaceuticals and chemicals preferred

About the company

At Daiichi Sankyo, we are united by a single purpose, to improve lives around the world through innovative medicines. With a legacy of innovation since 1899, a presence in more than 30 countries, and more than 19,000 employees, we are advancing breakthrough therapies in oncology, cardiovascular disease, rare diseases, and immune disorders. Guided by our 2030 vision to “be an innovative global healthcare company contributing to the sustainable development of society”, we are shaping a healthier, more hopeful future for patients, their families, and society.

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