AWS Platform Engineer
At a glance
Mid-level Platform & Infrastructure role at Fa Ewjt Saasfaprod1. Pune · full-time.
Pay not stated Platform & Infrastructure salary
devopsroles summary, based on the employer's posting.
What you'll do
- Build and run AWS infrastructure with Terraform, improving its performance, scalability and availability
- Maintain the AWS data warehouse across environments, including configuration, code migrations and incident response
- Help users resolve SQL problems and work with data engineers to tune production and ad hoc queries
- Set IAM access between S3, Redshift, Glue Catalog, EMR and related services, while protecting data integrity
- Investigate infrastructure issues, identify their causes and put preventive measures in place
What you bring
- At least three years working in platform engineering across AWS cloud environments
- Hands-on experience architecting enterprise data warehouses on AWS, including Redshift, S3, Glue, IAM and VPC
- Practical knowledge of AWS network controls such as security groups and subnets
Who this fits
This role suits a mid-level AWS platform engineer who has worked with large data warehouses and supports analysts, data scientists, engineers and business partners. The position is hybrid in Pune, India.
From the employer
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.
- 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.
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