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AWS EMR Sr. Administrator

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NTT DATA

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Location:
China , Shanghai

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Category:
IT - Administration

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Contract Type:
Not provided

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Salary:

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Job Description:

The Senior AWS EMR Administrator will be responsible for managing AWS Elastic MapReduce (EMR) clusters and optimizing various AWS services. Candidates should have a strong background in big data technologies and AWS services, including Glue, Redshift, and Lambda. A bachelor's degree in Computer Science or a related field is required, along with at least 5 years of experience in AWS administration. Preferred certifications include AWS Certified Solutions Architect and AWS Certified Big Data – Specialty.

Job Responsibility:

  • Deploy, configure, and manage AWS EMR clusters, ensuring optimal performance and scalability
  • Install, configure, and maintain applications running on EMR clusters, such as Hadoop, Spark & Hive
  • Monitor cluster performance and resource utilization, implementing tuning strategies to optimize the performance and cost-efficiency of EMR clusters
  • Implement and manage backup and recovery processes for EMR data and configurations
  • Develop and maintain scripts for automating the deployment and management of EMR clusters and applications
  • Diagnose and resolve issues related to EMR clusters, applications, and data processing jobs
  • Work closely with data engineers, data scientists, and other stakeholders to support their big data processing needs
  • Administer and manage a variety of AWS services including AWS Glue, Amazon Redshift, AWS Lambda, Amazon S3, Amazon MSK (Kafka), KMS, and Secrets Manager to support data processing, storage, security, and compute needs
  • Implement AWS Step Functions to orchestrate workflows and integrate services like Lambda and Glue for end-to-end automation
  • Configure, manage, and optimize S3 buckets for efficient data storage, including setting up lifecycle policies and access controls
  • Optimize the performance and cost-effectiveness of AWS Lambda, Glue, and Redshift deployments through continuous monitoring and best practices
  • Automate infrastructure provisioning and management using Terraform
  • Leverage AWS CloudWatch to monitor performance metrics, set alarms, and implement automated responses to scaling events or failures
  • Work with development and data engineering teams to design and implement scalable data pipelines and analytics solutions using Redshift, Glue, and S3
  • Provide operational support for troubleshooting issues related to AWS services, performance bottlenecks, and data inconsistencies
  • Ensure high availability and reliability of critical systems through proactive monitoring, patching, and maintenance
  • Document architectural designs, configurations, and security policies to maintain a comprehensive knowledge base of the infrastructure
  • Stay up-to-date with the latest AWS developments and recommend improvements to systems, services, and workflows
  • Educate team members on AWS best practices for security, scalability, and cost optimization

Requirements:

  • Bachelor’s degree in computer science, Information Technology, or a related field
  • Proven experience with AWS services, particularly EMR, EC2, S3, and IAM
  • Strong background in administering big data technologies like Hadoop, Spark, Hive, and Presto
  • Experience with Linux/Unix systems administration
  • Experience with AWS services including Glue, Redshift, Lambda, Step Functions, S3, Kafka, KMS, Secrets Manager, IAM
  • Strong understanding of AWS security best practices, including managing IAM roles, KMS, Secrets Manager, and encryption standards
  • Experience with serverless architectures using AWS Lambda and Step Functions
  • Familiarity with data processing, ETL pipelines, and real-time data streaming using AWS Glue and MSK (Kafka)
  • Experience with infrastructure-as-code tools such as Terraform is preferred
  • Strong knowledge of AWS networking concepts, security protocols, and best practices
  • Proficiency in scripting languages such as Python, Shell, for automation tasks
  • Hands-on experience with monitoring tools like AWS CloudWatch and logging/alerting services
  • Good communication and collaboration skills to work with cross-functional teams
  • AWS Certified Solutions Architect, AWS Certified Big Data – Specialty, or other relevant certifications are a plus

Nice to have:

  • Understanding of data warehousing concepts and ETL processes
  • Knowledge of data security practices and compliance standards like GDPR and HIPAA

Additional Information:

Job Posted:
March 21, 2026

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