Data Engineer

Data Engineer (Pharma Data Domain)

Position Overview

We are seeking a skilled Data Engineer responsible for the design, development, and maintenance of scalable data pipelines. In this role, you will collaborate closely with the business team in the US to gather requirements and deliver efficient, high-quality data solutions using our enterprise data platform. The ideal candidate will have strong technical expertise in Python, SQL, and cloud technologies, along with experience in the US pharmaceuticals domain (specialty pharmacy, hub, specialty distributor, 3PL).

Key Responsibilities

• Design, build, and maintain efficient, reusable, and reliable data pipelines.
• 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.

Technical Skills & Experience (Required)

• 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.

Soft Skills (Preferred)

• Excellent verbal and written communication skills with the ability to interact effectively with business and technical teams.
• Strong listening skills to understand customer needs and translate them into actionable solutions.
• Critical and creative thinking skills with the ability to brainstorm and innovate.
• Ability to lead discussions, workshops, or client meetings when required.
• Team player with strong collaboration skills across cross-functional teams.
• Adaptability to changing priorities and workloads.
• Strong organizational skills with the ability to identify bottlenecks and optimize workflows.
• Fluency in English (spoken and written).

Additional Information

• Standard work hours apply; occasional off-hours work may be required.
• We offer a competitive compensation package including salary, vacation, holidays, and gratuity benefits.