Java Software Engineer

The Hagan-Ricci Group
Stamford, United States of America
17 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Intermediate
Compensation
$ 300K

Job location

Stamford, United States of America

Tech stack

Java
Amazon Web Services (AWS)
Profiling
Computer Programming
Data Validation
Data Distribution Service
Information Engineering
ETL
Database Queries
Software Debugging
Python
NoSQL
Object-Oriented Software Development
Data Ingestion
Spark
Spring-boot
Information Technology
Data Delivery
Programming Languages
Microservices

Job description

The team is responsible for the firm's data architecture and infrastructure, including data ingestion, processing and internal distribution as well as analytical tools. Work includes projects related to intraday and end of day data processing, data validation, monitoring and data distribution to end users through micro-services and/or other means.

Responsibilities

  • Implementation and unit-testing for data engineering subsystems

  • Collaborate with other developers and analysts on larger projects

  • Support, diagnose and resolve issues with existing data ingestion and data delivery systems

  • Ability to learn new tools and/or programming languages as needed

Requirements

  • Minimum of 2 years' experience as a Java and Python developer, Java is required, Python a plus

  • Strong SQL skills

  • Excellent communication skills and ability to operate autonomously as needed

  • Strong programming, profiling and debugging skills

  • Previous experience working in financial companies

  • Strong academic background with a Bachelor or Master's degree in Computer Science or similar

Preferred Skills

  • Experience with ETL concepts or tools is a plus

  • Familiarity with Object Oriented Analysis and Design

  • Experience with relational and/or NoSQL databases

  • Experience with micro-services, Java Spring Boot

  • Experience with AWS, Spark, etc is a plus

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