Job Description :-
Efficient in build and configuration of Infrastructure in AWS Cloud development through the usage of Terraform tool , and ability to modifying the Terraform modules based on the requirement of development projects.
Capability in dealing with an integrated deployment workflow across DEV, TEST & PROD with the usage of Continuous Integration/Continuous Delivery pipeline projects.
Good knowledge of Python with Boto3 to supplement automation provided by Terraform for AWS Cloud deployments.
Team player and ability to quickly understand, learn and implement the new system design & data models.Technical Skills:Terraform, Python, Gitlab, AWS ServicesGood to have skills:AWS Services like: DynamoDB, Aurora PostgreSQL, S3, Lambda, etc.
Core Database Administration Skills
Database Design & Architecture: Understanding of relational and NoSQL databases, data modeling, normalization, indexing, and partitioning.
Performance Tuning: Skills in query optimization, index management, and troubleshooting slow-performing queries.
Backup & Recovery: Implementing backup strategies, point-in-time recovery, and disaster recovery planning.
Security Management: Knowledge of database security practices, including encryption, user roles, and access control.
AWS Database Services
Amazon RDS (Relational Database Service): Proficiency in managing RDS instances for databases like MySQL, PostgreSQL, SQL Server, MariaDB, Oracle, and Amazon Aurora.
Amazon Aurora: Experience with Aurora’s unique features such as auto-scaling, multi-region deployments, and read replicas.
Amazon DynamoDB: Skills in managing this NoSQL database service, including capacity planning, indexing, and querying.
Amazon DocumentDB and Amazon Neptune: Understanding of these database services for document-oriented and graph database use cases.
Cloud Skills
AWS CLI and SDKs: Experience using AWS Command Line Interface (CLI) and software development kits to automate tasks.
CloudFormation and Terraform: Infrastructure-as-Code (IaC) skills for managing database resources.
Monitoring & Logging: Familiarity with tools like Amazon CloudWatch, AWS CloudTrail, and third-party monitoring tools for database monitoring and alerting.
Automation and Scripting: Knowledge of scripting languages like Python, PowerShell, or Bash for automating tasks.
High Availability and Scalability
Multi-AZ Deployments and Read Replicas: Ensuring database availability and read scalability.
Database Clustering: Understanding of clustering concepts for databases, such as Aurora clusters and PostgreSQL clustering.
Auto-scaling: Knowledge of scaling strategies for both relational and NoSQL databases in AWS.
Migration and Data Integration
Database Migration Service (DMS): Skills in migrating on-premises databases to AWS using DMS.
Data Pipeline Tools: Experience with AWS Glue, AWS Data Pipeline, or third-party tools for ETL operations.
Security and Compliance
IAM Policies: Implementing proper Identity and Access Management (IAM) roles for database access.
Encryption: Knowledge of data-at-rest and data-in-transit encryption techniques using AWS Key Management Service (KMS).
Compliance: Understanding compliance requirements (e.g., GDPR, HIPAA) and ensuring database configurations adhere to them.
DevOps and CI/CD
Integration with CI/CD Pipelines: Understanding how to incorporate database changes into CI/CD workflows using tools like Jenkins, GitLab CI, or AWS CodePipeline.
Version Control for Database Changes: Managing database schema changes using version control tools.
Sound knowledge in Terraform is needed.
From:
vinay,
Resource Logistics inc.
vinay.shukla@resource-logistics.com
Reply to: vinay.shukla@resource-logistics.com