Virtusa Recruitment Drive; Hiring Python Developer – Apply Now

Virtusa seeking a highly skilled and motivated Data Quality (DQ) and IRL Development Specialist with expertise in Python libraries (Pandas and NumPy) and SQL. The successful candidate will be responsible for contributing to Data Quality development and IRL development, including integration and data work with a strong focus on data visualization. Additionally, clinical knowledge will be beneficial to support key builds and expectations for SAAMA builds. The place of posting will be at Chennai. Candidates kindly read all the information given below, before proceed to apply

Name of the Organization: Virtusa

Requisition ID: CREQ208405

Positions: Python Developer

Location: Chennai

Salary: As per company Norms

Educational Qualifications:

• Graduate
• Strong expertise in Pandas and NumPy for data analysis and manipulation.
• Advanced proficiency in SQL, with a deep understanding of database structures and queries.
• Proven experience in data visualization, including tools like Matplotlib, Seaborn, or others.
• Experience in clinical data or familiarity with clinical datasets is an added advantage.
• Strong communication and problem-solving skills.
• Ability to work effectively both independently and as part of a team.
• Support for SAAMA builds: Availability for dedicated support in April for SAAMA-related tasks.

Preferred Qualifications:

• Previous experience in Data Quality (DQ) or Integrated Reporting and Logistics (IRL) development.
• Familiarity with clinical data processes and regulations.

Key Responsibilities:

• Python Libraries: Utilize Pandas and NumPy for data manipulation, analysis, and quality assurance in DQ development.
• SQL: Apply in-depth knowledge of SQL for the comprehensive, end-to-end development of IRL.
• Integration and Data Work: Perform integration of data using Python, ensuring smooth data pipelines and workflows.
• Data Visualization: Focus on data visualization techniques and tools to present insights effectively and clearly.
• Clinical Knowledge: Leverage clinical knowledge for specific tasks, ensuring the data aligns with clinical standards and requirements.
• SAAMA Builds: Provide necessary support for SAAMA builds in April, ensuring successful deployment and meeting expectations.

 

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