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.
Qualifications
Proven experience in data modeling and ERWin is mandatory.
Strong background in the Cards & Payments domain is required.
Proficiency in TSQL and Python is highly desirable.
Familiarity with Amazon Redshift Apache Spark and AWS services (IAM Lambda S3 DevOps Glue Catalog CloudWatch Glue Cloud Formation) is advantageous.
Experience in risk management and DB performance optimization is a plus.
Ability to work collaboratively in a team environment and lead projects to successful completion.
Excellent problem-solving skills and attention to detail.
6 to 9 years of experience
Salary and Other Compensation:
Applications will be accepted until 05/07/2024
The annual salary for this position is depending on experience and other qualifications of the successful candidate.
This position is also eligible for Cognizant's discretionary annual incentive program and stock awards, based on performance and subject to the terms of Cognizant's applicable plans.
Benefits: Cognizant offers the following benefits for this position, subject to applicable eligibility requirements:
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
Disclaimer: The salary, other compensation, and benefits information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.
Cognizant is an Equal Opportunity Employer M/F/D/V. Cognizant is committed to ensuring that all current and prospective associates are afforded equal opportunities and treatment and a work environment free of harassment.
Cognizant is recognized as a Military Friendly Employer and is a coalition member of the Veteran Jobs Mission. Our Cognizant Veterans Network Assists Veterans in building and growing a career at Cognizant that allows them to leverage the leadership, loyalty, integrity, and commitment to excellence instilled in them through participation in military service.