Software Developer at Trellance Inc

Bengaluru, karnataka, India -

Full Time

Start Date

Immediate

Expiry Date

03 May, 26

Salary

0.0

Posted On

02 Feb, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Software Development, Analytics Engineering, SQL, Data Modelling, dbt, Cloud Data Warehouses, Microsoft Azure, REST APIs, Git, CI/CD, Frontend Development, Backend Development, Docker, Microservices, Business Intelligence, Agile, Scrum

Industry

Financial Services

Description

CU Rise Analytics Pvt. Ltd. is a wholly owned subsidiary of Trellance, Inc. CU Rise Analytics is an offshore development centre of Trellance Inc., working collaboratively to offer comprehensive solutions for data analytics, technology and talent to allow our credit union clients to provide high quality service to their members and remain competitive. Our core expertise lies in data science and technology, encompassing data analytics, predictive modelling, business intelligence, and technology services. Trellance Cooperative Holdings, Inc. is a credit union cooperative and leading technology partner for credit unions. Its companies – consisting of Rise Analytics, ProBridge, Optiri and CUDX – provide innovative technology solutions for credit unions to increase efficiency, manage risk and improve the member experience. Trellance’s mission is to make sure credit unions have access to the tools and resources they need to grow, enhance member value and remain competitive in a rapidly evolving financial landscape. About the Role We are looking for a Software Developer with up to 5 years of experience who enjoys working across application development and data analytics. This role blends full-stack engineering with analytics engineering, giving you the opportunity to build web applications while also transforming data into analytics-ready models using dbt. You’ll collaborate with product, engineering, and analytics teams to deliver scalable applications and reliable data foundations that support business insights. Key Responsibilities * Design, build, and maintain analytics data models using dbt. * Build and consume RESTful APIs and backend services. * Develop responsive, user-friendly frontend interfaces. * Write optimized SQL queries for data transformation and reporting. * Implement data quality checks, tests, and documentation in dbt. * Work with cloud platforms (Azure preferred) for application and data deployments. * Collaborate with cross-functional teams to understand product and data requirements. * Participate in code reviews and follow best engineering and analytics practices. * Troubleshoot and resolve application and data pipeline issues. Required Skills & Qualifications * 2–5 years of experience in Software development / Analytics Engineering, or related roles. * Hands-on experience with dbt (Core or Cloud). * Strong SQL skills and understanding of data modelling concepts. * Experience with cloud data warehouses preferably Snowflake. * Working knowledge of Microsoft Azure services (App Services, Functions, Storage, SQL, etc.). * Experience building and consuming REST APIs. * Familiarity with Git and version control workflows. * Basic understanding of CI/CD and deployment concepts. Nice to Have * Frontend experience with React / Angular / Vue.js, HTML5, CSS3, JavaScript/TypeScript. * Backend experience with Node.js /C# .NET / Java / Python. * Exposure to Docker or container-based deployments. * Understanding of microservices or event-driven architectures. * Experience with BI tools like Power BI, Looker, or Tableau. * Familiarity with Agile/Scrum development practices. * Azure or dbt certifications. Soft Skills * Strong problem-solving and analytical skills. * Good communication and collaboration abilities. * Ability to manage multiple responsibilities across app and data work. * Curiosity and willingness to learn new tools and technologies.

Responsibilities

The Software Developer will design, build, and maintain analytics data models using dbt, while also developing responsive, user-friendly frontend interfaces. They will collaborate with cross-functional teams to deliver scalable applications and reliable data foundations that support business insights.