Senior Data Engineer

As Senior Data Engineer CCG IT data team for Fisher Scientific Research Safety Division (RSD) you will join our IT Data Analytics team acting as a key part in the integration, delivery, and adoption of Global IT solutions (spanning across multiple applications at Enterprise, Group and/or Division level).

The Senior Data Engineer, CCG IT, is responsible for working in partnership with IT, ETO, AAD and business functions to understand data requirements and translate them into technical solutions. This includes ensuring proper design, implementing robust data pipelines, performing data modeling and schema design to support business analytics and reporting needs, and ensuring data quality and integrity throughout the data lifecycle. The role also involves monitoring and optimizing the performance of data solutions to meet SLAs and scalability requirements and ensuring ETL processes meet business expectations and requirements.

Additionally, this person is responsible for ensuring the readiness of all relevant applications, environments, tools, and profiles to enable high-quality end-to-end integration and UAT testing. The person is also tasked with warranting the deployment of high-quality solutions, as well as ensuring a proper handover to the support team after the hyper-care period, for both global projects and local enhancements.

You will be working with a team of Data Engineers/Sr. Data Engineers through the execution of their role to deliver global projects, local enhancements, break-fixes.

Experience

Data Management & Development

·        Take active part in the Data Engineering efforts and building of the Data platform required by the business.

• Design, develop and maintain data ingestion, data processing and data producing pipelines according to the best practices
• Design and build reusable components, frameworks, and libraries at scale to support analytics products

·        Foster a culture of innovation, collaboration, and continuous improvement within the team.

 Data Analysis

·        Carry out the data analysis processes and techniques in areas such as requirements analysis, documentation, and business process analysis.

·        Participate in meetings and use collaborative workshops to gather requirements, analyze potential conflicts considering global impact and uncover expectations with key business partners.

·        Produce understandable documentation of the final business requirements, success criteria, processes, use case scenarios as well as metrics to measure impact of changes and return on investment.

·        Review design documentation with business users and represent the users with the Development Team.

·        Identifying and implementing opportunities for Data Platform automation