AI and DATA - AWS - Senior Professional

5 - 10 years

14 - 19 Lacs

Posted:3 weeks ago| Platform: Naukri logo

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Job Type

Full Time

Job Description

  • Design, deploy, and manage cloud-native solutions using AWS services such as Glue, Lambda, S3, DynamoDB, Lake Formation, Athena, Redshift, and RDS.
  • Build scalable data lakes using S3 and Iceberg, ensuring secure and governed access to data for analytics and reporting
  • Implement event-driven workflows using Lambda, SNS, and EventBridge (AWS EventHub) for automation and real-time processing
  • Develop APIs and integrate services to support backend systems and client applications
  • Monitor, troubleshoot, and optimize infrastructure using CloudWatch and Grafana dashboards
  • Collaborate with cross-functional teams to define best practices, ensure security compliance, and align with business objectives
  • Automate deployments using CI/CD pipelines and Infrastructure as Code (IaC) frameworks
  • Mentor junior engineers and support knowledge-sharing across teams

Skills and attributes for success

  • Hands-on experience designing and implementing AWS cloud infrastructure at scale
  • Expertise in data lake formation, governance, and analytics using AWS Lake Formation, S3, Athena, and Iceberg
  • Strong understanding of serverless architectures and event-driven workflows using Lambda, SNS, and EventBridge
  • Strong knowledge of data warehousing using AWS Redshift and relational database design using Amazon RDS
  • Proficiency in scripting languages like Python or Bash to automate cloud operations and workflows
  • Experience developing APIs and integrating distributed systems in cloud environments
  • Strong knowledge of DynamoDB, data modeling, and query optimization for NoSQL data stores
  • Experience in configuring and monitoring cloud infrastructure using CloudWatch and Grafana
  • Working knowledge of CI/CD pipelines, DevOps practices, and tools like Terraform, CloudFormation, or AWS CDK
  • Understanding of storage formats such as Parquet, ORC, and AVRO for efficient querying and compression
  • Familiarity with security frameworks, IAM policies, encryption, and data protection best practices
  • Analytical mindset with strong troubleshooting and performance tuning capabilities
  • Ability to work with structured and unstructured data in batch and streaming pipelines
  • Demonstrated problem-solving skills, adaptability, and eagerness to learn new technologies
  • Experience with deployment processes and containerization is a plus

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Professional Services

London

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