Analytics Engineer

The world’s top banks use Zafin’s integrated platform to drive transformative customer value. Powered by an innovative AI-powered architecture, Zafin’s platform seamlessly unifies data from across the enterprise to accelerate product and pricing innovation, automate deal management and billing, and create personalized customer offerings that drive expansion and loyalty.

Zafin empowers banks to drive sustainable growth, strengthen their market position, and define the future of banking centered around customer value.

Zafin is privately owned and operates out of multiple global locations including North America, Europe, and Australia. Zafin is backed by significant financial partners committed to accelerating the company’s growth, fueling innovation and ensuring Zafin’s enduring value as a leading provider of cloud-based solutions to the financial services sector.

Zafin is proud to be recognized as a top employer. In Canada, UK and India, we are certified as a “Great Place to Work”. The Great Place to Work program recognizes employers who invest in and value their people and organizational culture. The company’s culture is driven by strategy and focused on execution. We make and keep our commitments.

What is the opportunity?

This role is at the intersection of banking and analytics. It requires diving deep into the banking domain to understand and define the metrics, and into the technical domain to implement and present the metrics through business intelligence tools.

We're building a next-generation analytics product to help banks maximize the financial wellness of their clients. The product is ambitious - that’s why we’re looking for a team member who is laterally skilled and comfortable with ambiguity. Reporting to the Senior Vice President, Analytics as part of the Zafin Product Team, you are a data-visualization subject matter expert who can define and implement the insights to be embedded in the product using data visualization tools (DataViz) and applying analytics expertise to make an impact. If storytelling with data is a passion of yours, and data visualization and analytics expertise is what has enabled you to reach your current level in your career - you should take a look at how we do it on one of the most advanced banking technology products in the market today - connect with us to learn more.

Location – Chennai or Trivandrum India

Purpose of the Role

As a Software Engineer – APIs & Data Services, you will own the “last mile” that transforms data pipelines into polished, product-ready APIs and lightweight microservices. Working alongside data engineers and product managers, you will deliver features that power capabilities like Dynamic Cohorts, Signals, and our GPT-powered release notes assistant.

What You’ll Build & Run

Approximate Focus: 60% API / 40% Data

Focus Area

Typical Work

Product-Facing APIs

Design REST/GraphQL endpoints for cohort, feature-flag, and release-notes data. Build microservices in Java/Kotlin (Spring Boot or Vert.x) or Python (FastAPI) with production-grade SLAs.

Schema & Contract Management

Manage JSON/Avro/Protobuf schemas, generate client SDKs, and enforce compatibility through CI/CD pipelines.

Data-Ops Integration

Interface with Delta Lake tables in Databricks using Spark/JDBC. Transform datasets with PySpark or Spark SQL and surface them via APIs.

Pipeline Stewardship

Extend Airflow 2.x DAGs (Python), orchestrate upstream Spark jobs, and manage downstream triggers. Develop custom operators as needed.

DevOps & Quality

Manage GitHub Actions, Docker containers, Kubernetes manifests, and Datadog dashboards to ensure service reliability.

LLM & AI Features

Enable prompt engineering and embeddings exposure via APIs; experiment with tools like OpenAI, LangChain, or LangChain4j to support product innovation.

About You

You’re a language-flexible engineer with a solid grasp of system design and the discipline to ship robust, well-documented, and observable software. You’re curious, driven, and passionate about building infrastructure that scales with evolving product needs.

Mandatory Skills

• 4 to 6 years of professional experience in Java (11+) and Spring Boot
• Solid command of API design principles (REST, OpenAPI, GraphQL)
• Proficiency in SQL databases
• Experience with Docker, Git, and JUnit
• Hands-on knowledge of low-level design (LLD) and system design fundamentals

Highly Preferred / Optional Skills

• Working experience with Apache Airflow
• Familiarity with cloud deployment (e.g., Azure AKS, GCP, AWS)
• Exposure to Kubernetes and microservice orchestration
• Frontend/UI experience in any modern framework (e.g., React, Angular)
• Experience with Python (FastAPI, Flask)

Good-to-Have Skills

• CI/CD pipeline development using GitHub Actions
• Familiarity with code reviews, HLD, and architectural discussions
• Experience integrating with LLM APIs like OpenAI and building prompt-based systems
• Exposure to schema validation tools such as Pydantic, Jackson, Protobuf
• Monitoring and alerting with Datadog, Prometheus, or equivalent