- Use CI/CD tools to facilitate deployment of code to stage and production environments.
- Participate on architecture of end-to-end solutions for our customers on AWS, Azure and other cloud platforms.
- Maintain GIT repositories using Gitflow framework.
- Collaborate on feature deliverables to meet milestones and quality expectations.
- Communicate with the stakeholders, vendors and technology subject matter experts.
- Document implemented logic in a structured manner using Confluence; plan your activities using Agile methodology in Jira.
- Work with stakeholders to assist with data-related technical issues and support their data infrastructure needs, like optimizing existing data delivery, re-designing infrastructure for greater scalability, etc.
Requirements
- Experience in building and productionizing public cloud infrastructure.
- Experience using GitHub, Bitbucket or other code repository solution.
- Experience in setting up and using CI/CD automation tools like like Github Actions, Azure DevOps or AWS CodePipeline.
- Experience with infrastructure as a code frameworks like Terraform, AWS CloudFormation, ARM templates.
- Understanding of containerization concepts and container orchestration services like Docker, Fargate, Kubernetes.
- Experience with scripting languages like Python, Bash, PowerShell etc.
- Strong analytic skills related to working with structured and unstructured datasets.
- Person who is precise, well organized, has good communication skill, can adapt to changing circumstances and is not afraid of responsibility for his / her work will do great in this role.
Preferred Skills
- Understanding data concepts and patterns of big data, data lake, lambda architecture, stream processing, DWH, BI & reporting.
- Experience with data pipeline / workflow management tools like dbt, AWS Step Functions, AWS Glue, Azure Data Factory, Airflow.
- Knowledge of SQL
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