Java J2EE Developer
Sci Solutions Global
Houston, TX, United States
1 day ago
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Role details
Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Working hours
Regular working hours
Job source
Tech stack
Java (Programming Language)
Agile Methodology
Amazon Web Services
Amazon S3
Microsoft Azure
Unix
Cloud Engineering
Continuous Integration
Extract Transform Load (ETL)
Java Platform Enterprise Edition (J2EE)
Python (Programming Language)
OpenAI
+13 more
Shell Script
Software Engineering
Data Streaming
Cloud Platform System
Test-Driven Development (TDD)
Large Language Models
Apache Spark
Amazon Relational Database Service
Pyspark
Functional Programming
Amazon Simple Queue Service (SQS)
Terraform
Data Pipelines
Job description
- 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.
Requirements
We are seeking a Java J2EE Developer to join our dynamic team. The ideal candidate will have strong experience in Java J2EE, PySpark/Spark, AWS services, and Agile delivery and a proven ability to design, build, and operate resilient ETL and streaming data pipelines in cloud environments., * 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.
- Minimum 5+ years of applied software engineering experience with relevant training or certification.
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.
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