Java J2EE Developer

Sci Solutions Global
Wilmington, DE, United States
4 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience required
1 year minimum
Working hours
Regular working hours

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

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. 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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