AWS Python Data Engineer- Onsite

Cognizant Technology Solutions - Richmond, VA

Full-time - Senior

Richmond, VA

Professional, Scientific, and Technical Services

About the position

Cognizant is seeking a Senior AWS/Python Data Engineer with 8 to 12 years of experience to join their AI & Analytics practice. This role focuses on leveraging advanced data science techniques to drive impactful business decisions and innovations in the financial sector, specifically within the Cards and Payments domain. The ideal candidate will lead the development and implementation of machine learning models, oversee the data science project lifecycle, and collaborate with cross-functional teams to deliver data-driven solutions.

Responsibilities

• Lead the development and implementation of machine learning models using Spark ML, AWS Machine Learning, PySpark, and PyTorch.
• Oversee the end-to-end data science project lifecycle from data collection and preprocessing to model deployment and monitoring.
• Provide actionable insights through advanced data analysis and predictive modeling to enhance business strategies in the Cards and Payments domain.
• Collaborate with cross-functional teams to understand business requirements and translate them into data science solutions.
• Develop and maintain scalable data pipelines and architectures to support machine learning initiatives.
• Utilize Python for data manipulation, analysis, and visualization to communicate findings effectively to stakeholders.
• Implement best practices for model validation, testing, and performance evaluation to ensure robustness and accuracy.
• Drive innovation by exploring new machine learning techniques and technologies to solve complex business problems.
• Mentor junior data scientists and provide technical guidance to enhance team capabilities.
• Ensure data integrity and security by adhering to industry standards and regulatory requirements.
• Conduct thorough research and stay updated with the latest trends and advancements in data science and machine learning.
• Contribute to the continuous improvement of data science methodologies and processes within the organization.
• Foster a culture of data-driven decision-making and promote the value of data science across the company.

Requirements

• 8 to 12 years of experience in data engineering and data science.
• Strong background in Spark ML, AWS Machine Learning, PySpark, Machine Learning, PyTorch, and Python.
• Extensive experience in the Cards and Payments domain.
• Excellent problem-solving skills and ability to work with large complex datasets.
• Proficiency in developing and deploying machine learning models in a production environment.

Benefits

• Medical/Dental/Vision/Life Insurance
• Paid holidays plus Paid Time Off
• 401(k) plan and contributions
• Long-term/Short-term Disability
• Paid Parental Leave
• Employee Stock Purchase Plan