AWS Data Engineer

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. But 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.

*Please note, this job is not able to offer visa transfer or sponsorship now or in the future*

Job Title: AWS Data Engineer (On site)

Job Summary

We are seeking a highly skilled Sr. Developer with 8 to 12 years of experience to join our team. The ideal candidate will have strong expertise in Python Pyspark 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 AWS Glue ETL and AWS Glue Catalog.
• Implement data processing solutions using Apache Spark and Python.
• Manage and optimize data storage solutions on Amazon S3.
• Collaborate with cross-functional teams to gather and analyze requirements.
• Ensure data quality and integrity throughout the data lifecycle.
• Troubleshoot and resolve issues related to data processing and storage.
• Provide technical guidance and support to junior developers.
• Participate in code reviews to ensure best practices and coding standards.
• Create and maintain documentation for data pipelines and processes.
• Monitor and improve the performance of data processing jobs.
• Stay updated with the latest industry trends and technologies.
• Contribute to the overall success of the project by delivering high-quality solutions.
• Support the companies mission by ensuring data-driven decision-making.

Qualifications

• Possess strong experience in Python programming.
• Demonstrate expertise in AWS Glue Studio AWS Glue ETL and AWS Glue Catalog.
• Have extensive knowledge of Amazon S3 for data storage.
• Show proficiency in Apache Spark for data processing.
• Experience in the Cards & Payments domain is a plus.
• Exhibit excellent problem-solving and troubleshooting skills.
• Display strong communication and collaboration abilities.
• Maintain a proactive and detail-oriented approach to work.
• Have a proven track record of delivering high-quality solutions.
• Show commitment to continuous learning and improvement.
• Demonstrate the ability to work effectively in a hybrid work model.
• Possess a strong understanding of data quality and integrity principles.
• Exhibit the ability to mentor and guide junior developers.

Certifications Required

* AWS Certified Solutions Architect

* AWS Certified Big Data Specialty Certified Spark Developer

Salary and Other Compensation:

Applications will be accepted until March 14h, 2024

The annual salary for this position is between $108,000 to $139,000 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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We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.