Sr Software Engineer

Senior Software Engineer Role Overview
We are looking for a highly skilled Senior Full Stack Software Engineer to join our Data Warehouse Analytics Engineering team. The ideal candidate is passionate about building scalable enterprise applications, modern web experiences, and data-driven platforms that enable business insights.
You will work across the full technology stack, collaborating with product managers, architects, UX designers, data engineers, and other software engineers to deliver high-quality analytical products used by global customers.
This role requires strong expertise in Java, Angular, REST APIs, relational databases, and an appreciation for Business Intelligence (BI) and data warehousing concepts.

Key Responsibilities
Design, develop, test, and deploy scalable full-stack applications using Java and Angular.
Participate in architecture, technical design, estimation, and implementation of complex features.
Build intuitive, responsive, and accessible user interfaces for analytics and reporting applications.
Develop secure, scalable, and high-performance backend services and APIs.
Collaborate with Data Engineering teams to integrate applications with enterprise data warehouse platforms.
Optimize application performance, database queries, and overall system scalability.
Contribute to data modeling and analytics solutions that power business intelligence applications.
Ensure high code quality through unit testing, code reviews, automated testing, and CI/CD best practices.
Mentor junior engineers and promote engineering excellence across the team.
Drive continuous improvement in software development processes, tooling, and engineering practices.
Collaborate closely with Product Managers, UX Designers, Architects, QA Engineers, and cross-functional teams to deliver customer-centric solutions.
Troubleshoot production issues and participate in operational excellence initiatives.

Required Qualifications
7+ years of experience in Full Stack Software Development in enterprise production environments.
Strong experience designing and implementing large-scale distributed applications.
Expert-level proficiency in Java application development, including:
Java 11/17+
Spring Boot
Spring MVC
Spring Data JPA
Hibernate
JPA
Microservices architecture
Strong frontend development experience using:
Angular (preferred)
TypeScript
JavaScript (ES6+)
HTML5
CSS3/SCSS
Responsive UI development
Experience designing and consuming RESTful APIs.
Good understanding of API security (OAuth2, JWT, SSL/TLS).
Strong SQL skills with hands-on experience in relational databases such as SQL Server, Oracle, PostgreSQL, or MySQL.
Experience writing complex SQL queries, stored procedures, query optimization, and database performance tuning.
Familiarity with Business Intelligence platforms and reporting solutions.
Experience with multithreading, asynchronous processing, distributed systems, and messaging technologies.
Strong understanding of object-oriented design principles, design patterns, and clean architecture.
Experience with Git-based version control and collaborative development workflows.
Experience using Maven or Gradle build systems.
Familiarity with Agile/Scrum development methodologies.
Excellent problem-solving, debugging, and analytical skills.
Strong verbal and written communication skills.
Bachelors or masters degree in computer science, Engineering, or a related field.

Good to Have
AI-Assisted Development
Experience using GitHub Copilot, Copilot Chat, or similar AI coding assistants to improve developer productivity.
Exposure to AI-assisted software development workflows.
Experience leveraging Generative AI for:
Code generation
Unit test generation
Documentation
Refactoring
Debugging
Familiarity with AI-powered developer tools such as:
GitHub Copilot
Cursor AI
ChatGPT
Claude
Gemini
Data Analytics
Experience working with enterprise Data Warehouse platforms.
Exposure to Business Intelligence tools such as:
Power BI
Tableau
SSRS
Understanding of semantic models, OLAP concepts, and analytical reporting.
Experience integrating applications with reporting and analytics platforms.
Cloud DevOps
Experience with Docker and Kubernetes.
Exposure to AWS, Azure, or Google Cloud Platform.
Infrastructure as Code (Terraform, Helm) is a plus.
Monitoring and observability using Splunk, Grafana, Prometheus, ELK, or Dynatrace.
Quality Engineering
Experience writing unit and integration tests using:
JUnit
Mockito
Jasmine
Karma
Cypress
Experience with SonarQube and static code analysis.
Knowledge of secure coding practices and OWASP principles.

What Were Looking For
The ideal candidate is someone who:
Takes ownership from design through production support.
Writes clean, maintainable, and testable code.
Enjoys solving complex engineering and data challenges.
Understands how applications interact with enterprise data platforms.
Is comfortable working across frontend, backend, and database layers.
Embraces modern engineering practices including automation, CI/CD, AI-assisted development, and continuous improvement.
Thrives in a collaborative Agile environment and enjoys mentoring teammates.