Description

You will build and optimize cloud-based backend applications and data processing pipelines.

Responsibilities

• Develop and deploy cloud-based applications using Spring Boot.
• Implement and manage Spark Databricks pipelines to support Data Lakehouse architectures.
• Write and maintain Linux or PowerShell scripts for automation and system management.
• Collaborate with cross-functional teams to integrate cloud solutions.
• Design for scalability, security, and performance within the SDLC.

Required Skills

• 5+ years of experience with Java 8 and Spring Boot.
• Expertise in Spark Databricks for big data processing.
• Strong proficiency in Python scripting, including data types, control structures, and error handling.
• Experience building and maintaining REST APIs.
• Proficiency in Linux or PowerShell scripting.
• Experience working in cloud environments.
• Degree in any field.

Preferred Skills

• Experience with Azure SQL, ASE, or Azure Functions.
• Knowledge of Event Hub, HashiCorp Vault, Datadog, or Autosys.

Key Skills

Education

Any Gradute