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.
Required Skills & Qualifications:
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.
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.
Numbers & Facts
Location
Wilmington, Delaware
Website
https://scisolutionsglobal.com/
Skills
AWS Lambdaunmatched
Agile Programming Methodologiesunmatched
Amazon Simple Storage Service (S3)unmatched
Amazon Web Services (AWS)unmatched
Analysis Skillsunmatched
Applications Securityunmatched
Cloud Applicationsunmatched
Cloud Computingunmatched
Continuous Deployment/Deliveryunmatched
Continuous Integrationunmatched
Data Managementunmatched
Database Extract Transform and Load (ETL)unmatched