Develop and maintain Java J2EE applications and resilient ETL and streaming data pipelines. Build cloud-based workflows using PySpark/Spark and AWS services including SQS, Lambda, S3, and RDS. Participate in Agile delivery, testing, deployment, maintenance, CI/CD, TDD, and application resiliency practices. The role requires strong Java or Python skills and at least five years of applied software engineering experience. Terraform, Unix shell scripting, and practical LLM development experience are preferred.
Job
Title: Java J2EE Developer
Location: Houston, TX; Plano, TX
Work Authorization: US Citizen, Green Card, or GC EAD
preferred
W2 Requirement- No C2C, 1099, or third-party profiles accepted.
Job
Description
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.
Responsibilities:
- 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.
- 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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