Description

Job Description
 

• Minimum 5+ years of applied software engineering experience with Design, develop, test, deploy, maintain, and improve Java J2EE and data pipeline solutions.
   
• Build and support ETL and streaming pipelines using PySpark/Spark.
   
• Leverage AWS services including SQS, Lambda, S3, and RDS for application and data workflows.
   
• Apply Agile practices and participate in ceremonies to deliver incremental value.
   
• Proficiency in Java J2EE application development and common design techniques.
   
• Extensive hands-on experience with PySpark/Spark and ETL/streaming pipelines.
   
• Experience with AWS services such as SQS, Lambda, S3, and RDS.
   
• Advanced proficiency in one or more languages such as Python or Java.
   
• Understanding of CI/CD, TDD, cloud development, application resiliency, and security.
   
• Working knowledge across software engineering disciplines including analysis, development, testing, deployment, and maintenance.
   

Preferred Skills:
 

• Experience with Shell scripting on Unix systems.
   
• Proficiency with Terraform for infrastructure as code.
   
• Familiarity with modern LLM techniques and practical LLM use case development on OpenAI Azure

Key Skills

Education

Any Graduate