Job Details

We are Cognizant Artificial Intelligence

Digital technologies, including analytics and AI, give companies a once-in-a-generation opportunity to perform orders of magnitude better than ever before. However, clients need new business models built from analyzing customers and business operations at every angle to really understand them.

With the power to apply artificial intelligence and data science to business decisions via enterprise data management solutions, we help leading companies prototype, refine, validate and scale the most desirable products and delivery models to enterprise scale within weeks

*You must be legally authorized to work in United States without the need of employer sponsorship, now or at any time in the future *

Job Title: Data Modeler (Onsite)

Work Location: Plano, TX

Roles & Responsibilities:

• Lead the design and implementation of complex data models to support business processes and decision-making.
• Utilize ERWin to create and maintain accurate and efficient data models.
• Collaborate with cross-functional teams to understand business requirements and translate them into technical specifications.
• Oversee the development and optimization of TSQL queries and scripts for data manipulation and retrieval.
• Guide the team in integrating Python scripts for data processing and analytics.
• Champion the use of Amazon Redshift and Apache Spark for scalable data warehousing and processing solutions.
• Ensure the secure management of data access and permissions through AWS IAM.
• Act as a Redshift DB administrator optimizing database performance and ensuring data integrity.
• Leverage AWS Lambda and Amazon S3 for efficient data storage and processing workflows.
• Implement AWS DevOps practices for continuous integration and delivery of data projects.
• Utilize AWS Glue Catalog AWS CloudWatch AWS Glue and AWS Cloud Formation to manage monitor and orchestrate data pipelines.
• Apply risk management principles to safeguard data and comply with regulatory requirements.
• Drive DB performance optimization initiatives to enhance system efficiency and response times.