Description

Key Skills: SCALA, AWS Cloud, Azure, Python, Databricks, Terraform, Rabbit MQ, CICD, Kafka

Roles and Responsibilities:

• Deliver business requirements from development through production deployment.
• Design, build, test, and maintain scalable data engineering applications.
• Develop and optimize data pipelines using Scala and Python.
• Work with Databricks for data processing and analytics workloads.
• Implement integrations using Kafka and RabbitMQ.
• Build and manage cloud infrastructure using Terraform.
• Support CI/CD pipelines and automated deployment processes.
• Collaborate with business and technical teams to deliver solutions.
• Troubleshoot and resolve application and data pipeline issues.
• Contribute to automation, cloud modernization, and engineering best practices.

Skills Required:

• Strong experience with Scala and Python development.
• Hands-on experience with AWS Cloud and Microsoft Azure.
• Experience working with Databricks in Azure environments.
• Knowledge of Kafka and RabbitMQ for messaging and event streaming.
• Experience with Terraform and Infrastructure as Code (IaC).
• Understanding of CI/CD pipelines and DevOps practices.
• Experience building and supporting data engineering pipelines and APIs.
• Knowledge of cloud-native and distributed systems architecture.
• Strong troubleshooting, analytical, and problem-solving skills.
• Good communication and stakeholder management abilities.
• Experience working in Agile development environments.

Education:

• Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field.
• Master's degree preferred

Key Skills

Education

Any Graduate