Jr Software Engineer

Location: Wilmington, DE Description:
Key Responsibilities

• Design, develop, and maintain scalable ETL and real-time streaming data pipelines using PySpark, Spark, and Java.
• Build and optimize data ingestion, transformation, and processing frameworks for large-scale datasets.
• Develop cloud-native data solutions utilizing AWS services such as S3, Lambda, SQS, and RDS.
• Collaborate with cross-functional teams to understand data requirements and deliver reliable, high-performance solutions.
• Ensure data quality, security, and operational excellence across data platforms.
• Troubleshoot performance bottlenecks and implement best practices for scalable data engineering solutions.
• Contribute to the automation and continuous improvement of data infrastructure and deployment processes.

Minimum Qualifications

• 4+ years of hands-on experience in software engineering, data engineering, or a related field.
• Strong experience with PySpark, Spark, Java, and ETL/streaming pipeline development.
• Hands-on experience with AWS services, including SQS, Lambda, S3, and RDS.
• Advanced proficiency in Python, Java, or both.
• Solid understanding of software engineering principles, data structures, and distributed data processing.
• Bachelor's degree in Computer Science, Computer Engineering, Mathematics, or a related technical discipline, or equivalent practical experience.

Preferred Qualifications

• Experience with Shell scripting and Unix/Linux environments.
• Hands-on experience using Terraform for infrastructure provisioning and management.
• Familiarity with modern Large Language Models (LLMs) and Generative AI applications.
• Experience developing practical AI/LLM use cases using Azure OpenAI services.
• Exposure to Infrastructure as Code (IaC), DevOps practices, and cloud automation.

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