Key skills
AWSAzureCloudDockerGoogle Cloud PlatformJavaPythonScalaSQLTerraformAIMachine LearningGCPGoogle CloudCloudFormation
About this role
Role Overview
- Build and maintain sturdy relationships with clients and team members
- Contribute to the development of solutions in a dynamic environment
- Work with team members to achieve project objectives
- Analyze data to derive insights and inform decision-making
- Uphold professional standards and ethical practices in every task
Requirements
- Bachelor's Degree in Management Information Systems, Computer and Information Science, Systems Engineering, Mathematics, Engineering, Electrical Engineering, Chemical Engineering, Industrial Engineering, Mathematics, Statistics
- At least 1 year of experience
- Certification in Cloud Platforms [e.g., AWS Certified Solutions Architect, AWS Data Engineer, Google Professional Cloud Architect, GCP Data Engineer Microsoft Certified: Azure Solutions Architect Expert, Azure Data Engineer Associate]
- Skilled in programming languages like Python, Java, or Scala
- Demonstrating competence in SQL and relational databases
- Managing containerized deployments with Docker
- Maintaining software quality through developer-led testing
- Understanding AI techniques enhancing LLMs
- Designing data architecture strategies for business needs
- Working with stakeholders to translate data requirements
- Familiarity with machine learning and data science workflows
- Monitoring and troubleshooting data pipelines, data warehouses, and workflows to promote data quality, system reliability, performance, and cost management
- Using AWS CloudFormation, Azure Resource Manager templates, Terraform for infrastructure as code (IaC) deployments
Tech Stack
- AWS
- Azure
- Cloud
- Docker
- Google Cloud Platform
- Java
- Python
- Scala
- SQL
- Terraform
Benefits
- medical
- dental
- vision
- 401k
- holiday pay
- vacation
- personal and family sick leave
- annual discretionary bonus