Data Engineer

We are seeking an experienced Data Engineer to design and implement data pipelines that efficiently ingest, transform, and serve data for various data products in the pharmaceutical industry.

• Proven experience with Databricks (minimum 3 years).
• Strong knowledge of data modeling techniques.
• Experience in data quality assurance and monitoring.
• Ability to manage and optimize data workflows.
• Excellent collaboration skills with cross-functional teams.
• Familiarity with CI/CD processes and automated testing.
• Proficiency in documenting technical processes and business logic.
• Experience in implementing data governance and security standards.

Nice to have:

• Knowledge of additional data pipeline tools and frameworks.
• Experience in data visualization tools.

• Design and implement data pipelines for data products.
• Build and maintain data models that support analytics and reporting.
• Ensure data quality through validation, testing, and monitoring.
• Manage and optimize data workflows for performance and cost efficiency.
• Collaborate with cross-functional teams to convert business needs into technical solutions.
• Contribute to CI/CD processes for version control and automated testing.
• Maintain documentation of data pipelines and business logic.
• Monitor production pipelines and troubleshoot issues for stable operation.
• Implement governance, security, and access control standards.
• Continuously improve existing data pipelines based on feedback.
• Stay updated on the latest tools and best practices in data engineering.