AWS Cloud Architect

4 weeks ago

Charlotte, North Carolina, United States Cognizant North America Full time
Job Title: AWS Data Engineer (Remote)

Job Summary:
Cognizant North America is seeking an experienced AWS Cloud Engineer to lead the design and implementation of scalable cloud-based architectures using AWS services. The ideal candidate will have extensive expertise in AWS DevOps, AWS IAM, Amazon Redshift, Amazon Dynamo DB, Python, AWS Glue Studio, AWS Glue ETL, AWS Glue Catalog, Amazon S3, and Apache Spark.

Responsibilities:
• Design and implement 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.

Qualifications:
• Demonstrate proficiency in MWAA (Airflow) for orchestrating complex workflows.
• Show extensive experience in AWS DevOps for automating and managing cloud infrastructure.
• Exhibit strong knowledge of AWS IAM for secure access management.
• Have hands-on experience with Amazon Redshift and Amazon Dynamo DB for data storage solutions.
• Be skilled in Python for scripting and automation.
• Utilize AWS Glue Studio for creating and managing ETL workflows.
• Implement AWS Glue ETL for efficient data transformation processes.
• Manage AWS Glue Catalog for centralized metadata management.
• Optimize data storage and retrieval from Amazon S3.
• Integrate Apache Spark for large-scale data analytics.
• Collaborate effectively with cross-functional teams.
• Monitor and troubleshoot cloud infrastructure for high availability.
• Stay updated with AWS technologies and best practices.

Work Mode: Remote

Work Location: Remote

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