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Pharmaceutical Data Engineering Expert
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Pharmaceutical Data Engineer Role Summary
">We are seeking a skilled professional to lead the design, development, and maintenance of scalable data pipelines. In this role, you will collaborate closely with business stakeholders in the US pharmaceutical market to deliver efficient, high-quality data solutions using an enterprise data platform. The ideal candidate will have strong technical expertise in Python, SQL, and cloud technologies, along with experience in patient and payer data management.
Key Responsibilities:
"- Design, build, and maintain efficient, reusable, and reliable data pipelines for pharmaceutical data applications.
- Collaborate with US-based business stakeholders to gather requirements and translate them into technical solutions.
- Develop data summarizations, reports, and insights by leveraging Pandas/PySpark.
- Ensure optimal performance, scalability, and quality of data applications.
- Troubleshoot issues, identify root causes, and implement solutions to mitigate risks.
- Maintain high standards of code quality, organization, and automation.
- Continuously expand technical knowledge through research and learning.
- Ensure compliance with corporate policies, procedures, and training requirements.
- Lead discussions or client-facing meetings in the absence of a Project Manager/Team Lead."
Required Skills & Qualifications:
"- 4+ years of professional experience in data engineering or related roles.
- 3+ years of hands-on Python programming experience, with strong expertise in Pandas/PySpark for data analysis and transformations.
- Proven experience with data aggregation projects in the US pharmaceutical market (specialty pharmacy, hub, specialty distributor, 3PL).
- Strong understanding of patient and payer data management.
- Proficiency in SQL and experience with modern data platforms such as Snowflake, Databricks, Azure Blob Storage, and AWS.
- Advanced analytical and problem-solving skills, with the ability to identify trends, patterns, and insights from complex datasets."
Benefits:
"Our company offers a competitive compensation package including salary, vacation, holidays, and gratuity benefits. Standard work hours apply; occasional off-hours work may be required.
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