Title: Cloud Platform Engineer
Project Name : IDStrat Modernization Implementation
Preferred Start Date : 12/2/24
Duration : 6 months
Telecommute : Yes
Travel : No
Description:
Job Overview:
- We are seeking a skilled Platform Engineer with 5 years of expertise in Azure Snowflake and Drools rules engine to design build and manage a robust data and application platform.
- This role will involve creating scalable solutions for data integration processing and application rule execution that align with business needs and compliance standards.
- Youll work closely with data engineering software development and architecture teams to streamline processes optimize infrastructure and ensure secure data management across the platform. Key
Responsibilities:
- Platform Development & Management: Design and implement scalable secure platform solutions on Azure leveraging Snowflake for data warehousing and Drools for business rule management.
- Data Integration: Develop and manage data pipelines ETL processes and integrations with Snowflake and other Azure data services.
- Rule Engine Management: Implement configure and optimize Drools rules engine for application logic and business rules.
- Infrastructure Automation: Automate infrastructure provisioning configuration and management using Azure DevOps ARM templates or Terraform.
- Security & Compliance: Ensure platform security data privacy and compliance with relevant standards (e.g. GDPR HIPAA) across Azure and Snowflake.
- Performance Optimization: Monitor and optimize system performance troubleshoot issues and ensure high availability and resilience of platform components.
- Collaboration & Documentation: Work with crossfunctional teams to gather requirements document processes and provide training on platform tools and practices.
Required Skills & Qualifications:
Technical Expertise:
- 5 years of experience in Microsoft Azure services (Azure Data Factory Databricks Azure Functions etc.)
- Proficient in Snowflake data warehouse management including SnowSQL Snowpipe and performance optimization.
- Knowledge of Drools (or CAMUNDA or similar rules engines) for managing business rules and workflows.
Programming & Scripting:
- Proficiency in Python SQL Java or Scala for data processing and automation.
- Experience with infrastructure as code (IAC) tools such as Terraform or ARM templates.
DevOps & CI/CD:
- Familiarity with Azure DevOps for CI/CD pipelines and deployment automation.
Analytical & ProblemSolving Skills:
- Troubleshooting abilities and experience with performance tuning in Azure and Snowflake.
Soft Skills:
- Excellent communication skills for collaboration with technical and nontechnical teams.
- Organizational and project management abilities
Required Skills : Google Cloud Platform (GCP)ETLPythonSQL
Basic Qualification :
Additional Skills : Cloud EngineerQA / TesterDatabase DeveloperDatabase Administrator
Background Check : No
Drug Screen : No