AWS Data Engineer(Remote)

Cognizant Technology Solutions - Charlotte, NC

Full-time - Mid Level

Remote - Charlotte, NC

10,001+ employees

Professional, Scientific, and Technical Services

About the position

The AWS Data Engineer role at Cognizant involves designing and implementing scalable cloud-based architectures using AWS services. The position requires expertise in AWS DevOps, data pipeline development, and data management solutions to support business operations and analytics. The role is remote and open to qualified applicants across the United States, focusing on leveraging AWS technologies to enhance data processing and storage capabilities.

Responsibilities

• Lead the design and implementation of scalable cloud-based architectures using AWS services.
• Oversee the development and deployment of data pipelines utilizing MWAA (Airflow) and AWS Glue ETL.
• Provide expertise in AWS DevOps to streamline CI/CD processes and automate infrastructure provisioning.
• Manage and secure AWS IAM roles and policies to ensure robust access control and compliance.
• Optimize data storage and retrieval processes using Amazon Redshift and Amazon Dynamo DB.
• Develop and maintain Python scripts for data processing and automation tasks.
• Utilize AWS Glue Studio to create and manage ETL workflows and data transformations.
• Implement and manage AWS Glue Catalog to maintain a centralized metadata repository.
• Ensure efficient data storage and retrieval from Amazon S3 leveraging best practices for data management.
• Integrate Apache Spark for large-scale data processing and analytics.
• Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions.
• Monitor and troubleshoot system performance ensuring high availability and reliability of cloud services.
• Stay updated with the latest AWS technologies and best practices to continuously improve our cloud infrastructure.

Requirements

• Bachelor's degree in science, engineering, or equivalent.
• 8-12+ years of experience in AWS technologies and data engineering.
• Proficiency in AWS DevOps, AWS IAM, Amazon Redshift, Amazon Dynamo DB, Python, AWS Glue Studio, AWS Glue ETL, AWS Glue Catalog, Amazon S3, MWAA (Airflow), and Apache Spark.

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