We are looking for an AWS Platform Engineer who carries experience in architecture of Enterprise Data Warehouse implementation on AWS IAM, Redshift, S3, Glue, VPC, CloudWatch and other relevant services. An ideal candidate will be responsible for managing, maintaining, and optimizing AWS infrastructure, ensuring high performance, security, and reliability.
Design, implement, and manage AWS infrastructure through Terraform IaC
Optimize and improve AWS performance, scalability, and availability.
Support User SQL queries and issues.
Ensure data security, integrity, and compliance with data governance policies.
Monitor and troubleshoot issues, perform root cause analysis and implement preventive measures.
Collaborate with data analysts and data scientists to understand business requirements and optimize data models.
Develop and maintain documentation of AWS architecture, processes, and procedure.
Partner with data engineers on query design during projects and while performing analytics, and to analyze, troubleshoot and optimize application and ad-hoc queries in production.
Design and Configure the IAM policies for interoperability between S3, Redshift and Glue Catalog, EMR and other services.
In-depth experience on AWS VPCs, Security groups, Subnets
Provide operational management for Data Warehouse in AWS across all environments, including configuration, maintenance, code migration, and incident response.
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Partner with the Analysts and Business Partners on data extracts as needed.
Experienced in agile methodologies.
Experience with other AWS services like EC2, RDS, VPC, IAM
Expertise in handling complex large-scale Warehouse environments
Knowledge of data governance and quality processes
Familiarity with Agile methodologies and DevOps practices
Minimum 3 years of extensive experience and exposure of platform engineering on AWS cloud environments.
