GG Data Engineer

Responsibilities and Accountabilities :

• Data Pipeline Development : Design, build, and optimize data pipelines using DWH technologies, Databricks, QLIK and other platforms as required. Ensuring data quality, reliability, and scalability.
• Application Transition : Support the migration of internal applications to Databricks (or equivalent) based solutions. Collaborate with application teams to ensure a seamless transition.
• Managing Continuous Improvement, Continuous Development, DevOps and RunOps activities at application, data and infra levels either on cloud or on premise.
• Mentorship and Leadership : Lead and mentor junior data engineers. Share best practices, provide technical guidance, and foster a culture of continuous learning.
• Data Strategy Contribution : Contribute to the organization’s data strategy by identifying opportunities for data-driven insights and improvements.
• Participate in smaller focused mission teams to deliver value driven solutions aligned to our global and bold move priority initiatives and beyond.
• Design, develop and implement robust and scalable data analytics using modern technologies.
• Collaborate with cross functional teams and practises across the organisation including Commercial, Manufacturing, Medical, FoundationX, GrowthX and support other X (transformation) Hubs and Practices as appropriate, to understand user needs and translate them into technical solutions.
• Provide Technical Support to internal users troubleshooting complex issues and ensuring system uptime as soon as possible.
• Champion continuous improvement initiatives identifying opportunities to optimise performance security and maintainability of existing data and platform architecture and other technology investments.
• Participate in the continuous delivery pipeline. Adhering to DevOps best practises for version control automation and deployment. Ensuring effective management of the FoundationX backlog.
• Leverage your knowledge of data engineering principles to integrate with existing data pipelines and explore new possibilities for data utilization.
• Stay-up to date on the latest trends and technologies in data engineering and cloud platforms.

Requirements

Experience :

At least 5+ years demonstrable experience in :

Qualifications :

Bachelor's degree in computer science, Information Technology, or related field (Master’s preferred) or equivalent experience.

Any relevant cloud-based integration certification at associate or professional level. For example :

MuleSoft

AWS

Microsoft Azure

Preferred Qualifications :

Other critical skills required