Python Software Developer

Turnberry Solutions; Hyderabad, Pune District; On-site; INR 2,000,000 - 3,200,000; Full time

Job summary

Turnberry Solutions AI / Hyper-Automation Practice in Hyderabad and Pune, India, is seeking an experienced Python Developer to join offshore AI/automation team supporting a global pharmaceutical client. You will build agentic AI solutions, data pipelines, and Power BI dashboards to enable regulatory and compliance workflows.

The ideal candidate has 5+ years of Python development, hands-on Power BI experience, and familiarity with AWS and modern data architectures.

Qualifications

• 5+ years of hands-on Python development experience.
• Power BI datasets, reports, and dashboards with DAX/Power Query.
• Strong knowledge of Python data libraries (pandas, NumPy) and APIs.
• Experience with AWS cloud services and regulatory environments.

Responsibilities

• Design, develop, and maintain Python-based automation and AI/agent solutions.
• Build data pipelines and integrations across AWS, SharePoint, M365, and Veeva.
• Develop and maintain Power BI dashboards and reports for stakeholders.
• Collaborate with analysts to translate use cases into technical designs; deploy on AWS.
• Implement robust error handling, logging, and monitoring in regulated environments.
• Write unit, integration, and regression tests to maintain quality.
• Contribute to code reviews, documentation, and knowledge sharing.
• Participate in Agile ceremonies and communicate progress with onshore/offshore teams.
• Stay current on AI, agentic, and Python ecosystem practices.

Skills

Python

Power BI

AWS

REST APIs

SQL

Pandas/NumPy

Agile/Scrum

Education

Bachelor's degree in Computer Science or Engineering

Tools

SharePoint

Veeva Vault

Microsoft 365

Git

Job description

Team: Turnberry Solutions AI / Hyper-Automation Practice Location: Hyderabad and Pune, India

About the Role

We are hiring an experienced Python Developer to join our offshore AI / hyper-automation team supporting a top-tier global pharmaceutical client. This team builds and operates agentic AI solutions, automation pipelines, and analytics products that streamline regulatory authoring, SOP management, compliance workflows, and drug data aggregation. The ideal candidate is a strong engineer who can write clean, production-grade Python, build meaningful visualizations in Power BI, and collaborate closely with business analysts and platform specialists to turn business problems into shippable automation.

Responsibilities

• Design, develop, and maintain Python-based automation and AI/agent solutions in support of regulatory, compliance, and operational business processes.
• Build data pipelines and integrations that connect enterprise systems (AWS services, SharePoint, Microsoft 365, Veeva, and internal data sources).
• Develop and maintain Power BI dashboards and reports that provide actionable insights to business stakeholders and leadership.
• Partner with business analysts to translate use cases into technical designs, and with platform specialists to deploy solutions into AWS.
• Implement robust error handling, logging, and monitoring across automation workflows to ensure reliability and auditability in a regulated environment.
• Write unit, integration, and regression tests to maintain high code quality and support ongoing enhancements.
• Contribute to code reviews, technical documentation, and knowledge-sharing across the team.
• Participate in Agile ceremonies including sprint planning, standups, and retrospectives, and communicate progress clearly to onshore leads and client stakeholders.
• Stay current on emerging AI, agentic, and Python ecosystem practices, and bring forward recommendations to strengthen the team's technical approach.

Requirements

• 5+ years of hands-on Python development experience, including production-grade code, packaging, testing, and debugging.
• Demonstrated Power BI experience - building datasets, reports, and dashboards, with comfort in DAX and Power Query.
• Strong grasp of Python data libraries (pandas, NumPy, requests, SQLAlchemy) and API integration patterns (REST, JSON, OAuth 2.0).
• Experience working with cloud services, ideally AWS (S3, Lambda, ECS, SageMaker, or similar).
• Familiarity with AI / LLM concepts and hands-on exposure to building or integrating with agentic AI solutions, Copilot, or GenAI tooling is a strong plus.
• SQL proficiency and experience working with relational and cloud data stores.
• Familiarity with Microsoft 365 ecosystem (SharePoint, Teams, Excel) and enterprise document workflows.
• Comfort working in Agile / Scrum environments with distributed onshore/offshore teams.
• Excellent written and spoken English, with the ability to communicate technical concepts to non-technical stakeholders.
• Bachelor's degree in Computer Science, Engineering, or a related field.
• Preferred: Prior experience in life sciences, pharma, or regulated industries; exposure to Veeva Vault, regulatory documentation systems, or quality management systems.