Data DevOps Engineer with Azure, Databricks [Senior/Lead]

We are looking for a Senior/Lead Data DevOps to join EPAM and contribute to a project for a large customer.
As a Senior/Lead Data DevOps in Data Platform, you will focus on maintaining and implementing new features to the data transformation architecture, which is the backbone of the Customer's analytical data platform. As a key figure in our team, you'll implement and deliver high-performance data processing solutions that are efficient and reliable at scale.
Responsibilities
Design, build and maintain highly available production systems utilizing Azure data solutions including Data Lake Storage, Databricks, ADF, and Synapse Analytics
Design and implement build, deployment, and configuration management systems together with CI/CD experience improvements based on Terraform and Azure DevOps pipeline solutions across multiple subscriptions and environments
Improve users experience with Databricks platform based on best practices of Databricks cluster management, cost-effective setups, data security models, etc.
Design, implement and improve monitoring and alerting system
Collaborate with Architecture teams to ensure platform architecture and design standards align with support model requirements
Identify opportunities to optimize platform activities and processes, implement automation mechanisms to streamline operations
Requirements
4+ years of professional experience
2+ years of hands-on experience with a variety of Azure services
Proficiency in Azure data solutions including Data Lake Storage, Databricks, ADF, and Synapse Analytics
Solid Linux/Unix systems administration background
Advanced skills in configuring, managing and maintaining networking on Azure cloud
Solid experience in managing production infrastructure with Terraform
Hands-on experience with one of the Azure DevOps/GitLab CI/GitHub Actions pipelines for infrastructure management and automation
Hands-on experience with Databricks platform
Practical knowledge of Python combined with SQL knowledge
Hands-on experience in one scripting language: Bash, Perl, Groovy
Advanced skills in Kubernetes/Docker
Good knowledge of Security Best Practices
Good knowledge of Monitoring Best Practices
Good organizational, analytical and problem solving skills
Ability to present and communicate the architecture in a visual form
English language proficiency – ability to communicate directly with a customer (B2 level or higher)