Senior Data Engineer - Python
Role Overview
The Senior Data Engineer will work on the iConnect Suggestions project in Bangalore.
The role maintains and develops a data engineering platform that generates intelligent suggestions for pharma sales representatives.
Solutions should be scalable and reusable across multiple countries and business environments.
Key Skills for This Role
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About YASH Technologies
YASH Technologies is a technology integrator focused on operating model transformation, competitiveness, cost optimization, stakeholder experience, and business transformation.
Role Overview
The Senior Data Engineer will work on the iConnect Suggestions project in Bangalore.
The role maintains and develops a data engineering platform that generates intelligent suggestions for pharma sales representatives.
Solutions should be scalable and reusable across multiple countries and business environments.
Key Responsibilities
- Develop and maintain the data engineering platform that powers suggestion generation.
- Design reusable generalized Python modules using modern development practices and object-oriented programming.
- Collaborate within agile teams to deliver high-quality solutions on schedule.
- Support migration to a new CRM through pipeline updates, end-to-end checks, suggestion validation, and migration tasks.
- Debug AWS Step Functions, Glue, Athena, and Lambda workflows and implement fixes for data pipeline issues.
- Apply engineering practices that improve code quality, testing, and deployment efficiency.
Required Skills and Experience
- Five to ten years of data engineering experience with global or regional project exposure.
- Advanced Python expertise with pandas, object-oriented programming, design patterns, and modern Python development practices.
- Experience with AWS Glue, Amazon Athena, DynamoDB, AWS Step Functions, and Lambda.
- Strong understanding of AWS-based cloud architectures.
- Experience with agile software development methodologies and project management tools such as Azure DevOps.
Nice to Have
- Basic knowledge of Veeva platforms.
- Experience with CI/CD, version control, and automated testing.
- Background in pharmaceutical or healthcare data environments.
Workplace Information
- The company describes flexible work arrangements but does not explicitly classify this role as remote, hybrid, onsite, or field-based.
Company Environment
- YASH describes an inclusive environment with career-oriented skilling and continuous learning.
- The stated workplace principles include agile self-determination, trust, transparency, open collaboration, and support for business goals.
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