- Design and implement scalable data ingestion and integration pipelines.

- Support data science and analytics teams with clean, reliable datasets.

- Apply data quality and governance frameworks across the lifecycle.

- Collaborate with cross- functional stakeholders to deliver actionable insights.

- Contribute to IM DnA platform development and enterprise data strategy.

Required Skills :

- Strong knowledge of ETL tools, SQL, Python, Spark.

- Experience with cloud platforms (Azure/AWS/GCP).

- Familiarity with data modeling, metadata management, and governance practices.

- Understanding of IM DnA concepts and enterprise data ecosystems.

- Ability to work in healthcare/life sciences domain preferred.

Preferred Attributes :

- Strong problem- solving and analytical mindset.

- Effective communication and stakeholder management skills.

- Experience in automation and standardization of data workflows.

How to Use :

- Internal sourcing : Share this template with recruiters to align on capability expectations.

- Referrals/LinkedIn posts : Adapt into a shorter posting (2 - 3 sentences) highlighting skills + experience range.

- Candidate screening : Use as a checklist when reviewing resumes.