Associate Manager, Scientific Data Engineering

Join a global healthcare biopharma company and be part of a 130-year legacy of success. Drive innovation and execution excellence. Design, develop, and maintain data pipelines to extract data from various sources and populate a data lake and data warehouse. Work closely with data scientists, analysts, and business teams to understand data requirements and deliver solutions aligned with business goals.

Requirements

• Bachelor's degree in information technology, Computer Science or any Technology stream.
• 1+ years of developing data pipelines & data infrastructure, ideally within a drug development or life sciences context.
• Demonstrated expertise in delivering large-scale information management technology solutions encompassing data integration and self-service analytics enablement.
• Experienced in software/data engineering practices (including versioning, release management, deployment of datasets, agile & related software tools).
• Ability to design, build and unit test applications on Spark framework on Python.
• Strong working knowledge of at least one Reporting/Insight generation technology
• Good interpersonal and communication skills (verbal and written).
• Proven record of delivering high-quality results.
• Product and customer-centric approach.
• Innovative thinking, experimental mindset.

Benefits

• Flexible Work Arrangements