Sr. AWS PySpark Developer ( Onsite)

Cognizant (NASDAQ: CTSH) is a leading provider of information technology, consulting, and business process outsourcing services, dedicated to helping the world's leading companies build stronger businesses. Headquartered in Teaneck, New Jersey (U.S.). Cognizant is a member of the NASDAQ-100, the S&P 500, the Forbes Global 1000, and the Fortune 500 and we are among the top performing and fastest growing companies in the world.

Practice - AIA - Artificial Intelligence and Analytics

About AI & Analytics: Artificial intelligence (AI) and the data it collects and analyzes will soon sit at the core of all intelligent, human-centric businesses. By decoding customer needs, preferences, and behaviors, our clients can understand exactly what services, products, and experiences their consumers need. Within AI & Analytics, we work to design the future - a future in which trial-and-error business decisions have been replaced by informed choices and data-supported strategies. By applying AI and data science, we help leading companies to prototype, refine, validate, and scale their AI and analytics products and delivery models. Cognizant's AIA practice takes insights that are buried in data and provides businesses a clear way to transform how they source, interpret, and consume their information. Our clients need flexible data structures and a streamlined data architecture that quickly turns data resources into informative, meaningful intelligence.

Job Summary

We are seeking a Sr. Developer with to join our team. The ideal candidate will have expertise in Python, AWS Glue Studio, AWS Glue ETL, AWS Glue Catalog, Amazon S3, and Apache Spark. Experience in the Cards & Payments domain is a plus. This is a hybrid work model with day shifts and no travel required.

Responsibilities

• Develop and maintain data pipelines using AWS Glue Studio and AWS Glue ETL to ensure efficient data processing and integration
• Use AWS Glue Catalog to lead and catalog metadata for data lakes and data warehouses
• Implement data storage solutions using Amazon S3 to ensure secure and scalable data management
• Leverage Apache Spark for large-scale data processing and analytics to drive business insights
• Collaborate with multi-functional teams to understand data requirements and deliver solutions that meet business needs
• Optimize data workflows and processes to improve performance and reduce costs
• Provide technical mentorship and support to junior developers and team members
• Ensure data quality and integrity through detailed testing and validation processes
• Supervise and tackle data pipeline issues to ensure timely resolution and minimal impact on operations
• Stay updated with the latest industry trends and technologies to continuously improve skills and knowledge
• Give to the development of best practices and standards for data engineering and analytics
• Participate in code reviews and provide constructive feedback to improve code quality
• Document data workflows, processes, and solutions to ensure clarity and knowledge sharing

Salary and Other Compensation:

Applications will be accepted until 06/09/2025

The annual salary for this position is between $90,000 - $123,000 depending on experience and other qualifications of the successful candidate.

This position is also eligible for Cognizant's discretionary annual incentive program, 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.

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