Data Engineer

Data Engineer (Pharma Data Domain)

Position Overview

Data Engineer

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.