Job Description
Candescent is a forward-thinking technology company transforming how financial institutions deliver Intelligent Banking experiences. We unite digital banking, account opening, and branch solutions that power and connect digital banking, account opening, and branch solutions—creating seamless engagement across digital, remote, and in-person channels.
Our Experience-Led, Intelligence-Driven approach combines human-centered design with data, automation, and cloud-based innovation. Built on an API-first architecture, our extensible ecosystem enables institutions to adapt quickly, integrate easily, and unlock new opportunities for growth—turning every customer interaction into a moment of clarity, confidence, and connection.
Java/Data Engineer
Location: Hyderabad, India
Reports to: Senior SW Engineering Manager, Data
Role Summary
Candescent is transforming digital banking with a modern, AI-powered platform that empowers financial institutions to deliver smarter, faster, and more personalized customer experiences. We’re seeking a Java/Data Engineer to join our growing Data Engineering team. This role involves designing, building, and maintaining components in our Transaction Store stack, which manages digital banking data such as Accounts, Transactions, and Customers in the personal banking domain. You are expected to lead the development and be instrumental in translating business requirements into scalable, production-ready solutions with minimal oversight.
You will play a pivotal role in mentoring junior developers, establishing and evolving development guidelines, designing and building reusable components, and contributing significantly to the overall architecture and design of our analytics platform.
You’ll work closely with cross-functional stakeholders to ensure solutions align with development standards and industry best practices. The ideal candidate will take full ownership of the development lifecycle, delivering high-performance, reliable systems that meet our uptime and scalability expectations.
Requirements
- 10+ years of experience in software development.
- 5+ years of hands-on experience in cloud-based Data Engineering solutions.
- 5+ years of hands-on experience in API development with API first mindset.
- Expertise in Java, Python, PySpark, REST APIs, Data Pipelines for streaming and batch jobs, and File Processing.
- Proficiency with NoSQL databases like Bigtable and AlloyDB.
- Proficiency in using AI tools to enhance automation and improve overall productivity
- Strong grasp of data warehousing and database design principles.
- Advanced SQL skills and experience with query optimization.
- Proven ability to manage large-scale datasets and build high-performance applications.
- Strong collaboration skills and ability to take full ownership of solution design, implementation, and release.
- Familiarity with GIT workflows for version control.
- Hands-on experience with Google Cloud Platform (GCP) or similar cloud ecosystems.
- Experience with Terraform for infrastructure provisioning and management.
- Experience with CI/CD pipelines.
- Ability to collaborate effectively with stakeholders, contribute to solution design, and take full ownership of implementation and release cycles.
- Bonus: Exposure to BI tools such as Looker, experience with Bigtable, Redis, Databricks, Java, Kubernetes, and Docker.
Preferred:
- Understanding of Data Platforms, Data Warehouse centric, and Lakehouse centric architectures.
- Familiarity with modular and extensible platforms that support dynamic feature invocation.
- Background in highly regulated industries, especially financial services or banking.
- Passion for security, scalability, and delivering seamless user experiences.
Statement to Third Party Agencies
To ALL recruitment agencies: Candescent only accepts resumes from agencies on the preferred supplier list. Please do not forward resumes to our applicant tracking system, Candescent employees, or any Candescent facility. Candescent is not responsible for any fees or charges associated with unsolicited resumes.