Senior Java Developer - AWS, ETL

2 days ago

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Truelogic Software

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Custom web and mobile software development • E-commerce development • Staff Augmentation Services • Offshore Development • Application Design - User Experience (UX)

501 - 1000

Description

• Truelogic is a leading provider of nearshore staff augmentation services located in New York. • You can work in a forward-thinking and growth-oriented environment at a digital infrastructure for global shipping. • As a Java Engineer on the Platform Team, you will develop services for capturing and transforming data. • You will support the development, architecture, enhancement, and ongoing maintenance of our ETL processes/integrations. • Your work will have a direct influence on shaping our processes and products. • Collaborate closely with the Platform Team Lead and Product Director. • Build services that power data pipelines and design new data models as necessary. • Maintain ETL processes and workflows in a cloud environment. • Optimize code, processes and balance maintaining optimal performance and continuous improvements.

Requirements

• Bachelor's degree or higher in Software Engineering, Computer Science or a related field • 10+ years of experience designing, building and refactoring high-quality scalable Java services • 4+ years of experience working with database models, design, DDLs and DMLs • 2+ years experience with workflow orchestration services like AWS Step Function, AWS SQS, AWS Lambda • Experience on Cloud Solutions (preferably AWS) • Experience building and supporting end-to-end integrations, across various methods (API/EDI/SFTP/Flat Files) • Prior experience in a startup and comfortable owning decisions in a rapidly changing environment • A desire to solve difficult problems and translate those solutions into high performance code • A solid mix of initiative, critical thinking, and work ethic • Proficiency in the following areas with the respective tools: • Languages: Java • Framework: SpringBoot • ETL: AWS Glue, AWS Data Pipeline • Databases: PostgreSQL, SQL Server • Infrastructure: Linux, AWS, Docker, Terraform • Integration: REST, Queuing/Messaging Services