Job Summary

• Python
• DBT
• AWS
• Gen AI – Implementation patterns

As a Python Data Engineer specializing in pharma analytics, you will play a pivotal role in advancing the company’s data-driven initiatives within the pharmaceutical sector. Your expertise in Python, DBT, AWS, and Gen AI implementation will contribute to building robust data pipelines, leveraging artificial intelligence for innovative solutions, and optimizing processes to enhance research, development, and operational efficiency for our clients. Your work will directly influence the quality and speed of decision-making in life sciences, supporting HCLTech’s mission to deliver excellence in healthcare technology.

Detailed Responsibilities

• Design, develop, and maintain scalable data pipelines using Python and DBT for pharmaceutical analytics projects.
• Implement and optimize data integration workflows on AWS cloud platforms, ensuring high performance and reliability.
• Apply Gen AI implementation patterns to deliver advanced analytics and AI-driven insights for pharma clients.
• Collaborate with cross-functional teams (data scientists, business analysts, pharma domain experts) to translate business requirements into technical solutions.
• Ensure data quality, security, and compliance with industry regulations (GDPR, HIPAA, etc.).
• Monitor and troubleshoot data workflows, proactively addressing issues to ensure uninterrupted operations.
• Document technical processes, workflows, and best practices for knowledge sharing and reusability.
• Stay current with industry trends and emerging technologies, recommending innovative approaches to enhance analytics capabilities.

Skill Requirements

• Bachelor’s or Master’s degree in Computer Science, Information Technology, Data Engineering, or a related field.
• Proven experience in Python development, with a strong understanding of data engineering concepts.
• Hands-on expertise in DBT (Data Build Tool) for data transformation and pipeline management.
• Proficiency in AWS cloud services (S3, Lambda, Redshift, Glue, etc.).
• Experience in implementing Gen AI (Generative AI) patterns and solutions.
• Familiarity with pharma industry processes, analytics, and regulatory requirements.
• Strong analytical, problem-solving, and communication skills.
• Ability to work effectively in a collaborative, multicultural, and fast-paced environment.

Key Responsibilities

• Python
• DBT
• AWS
• Gen AI – Implementation patterns

As a Python Data Engineer specializing in pharma analytics, you will play a pivotal role in advancing the company’s data-driven initiatives within the pharmaceutical sector. Your expertise in Python, DBT, AWS, and Gen AI implementation will contribute to building robust data pipelines, leveraging artificial intelligence for innovative solutions, and optimizing processes to enhance research, development, and operational efficiency for our clients. Your work will directly influence the quality and speed of decision-making in life sciences, supporting HCLTech’s mission to deliver excellence in healthcare technology.

Detailed Responsibilities

• Design, develop, and maintain scalable data pipelines using Python and DBT for pharmaceutical analytics projects.
• Implement and optimize data integration workflows on AWS cloud platforms, ensuring high performance and reliability.
• Apply Gen AI implementation patterns to deliver advanced analytics and AI-driven insights for pharma clients.
• Collaborate with cross-functional teams (data scientists, business analysts, pharma domain experts) to translate business requirements into technical solutions.
• Ensure data quality, security, and compliance with industry regulations (GDPR, HIPAA, etc.).
• Monitor and troubleshoot data workflows, proactively addressing issues to ensure uninterrupted operations.
• Document technical processes, workflows, and best practices for knowledge sharing and reusability.
• Stay current with industry trends and emerging technologies, recommending innovative approaches to enhance analytics capabilities.

Skill Requirements

• Bachelor’s or Master’s degree in Computer Science, Information Technology, Data Engineering, or a related field.
• Proven experience in Python development, with a strong understanding of data engineering concepts.
• Hands-on expertise in DBT (Data Build Tool) for data transformation and pipeline management.
• Proficiency in AWS cloud services (S3, Lambda, Redshift, Glue, etc.).
• Experience in implementing Gen AI (Generative AI) patterns and solutions.
• Familiarity with pharma industry processes, analytics, and regulatory requirements.
• Strong analytical, problem-solving, and communication skills.
• Ability to work effectively in a collaborative, multicultural, and fast-paced environment.

Skill Requirements

Other Requirements