JobHabor

Java+Power BI Engineer

Zensar Technologies
Location
Chennai, Tamil Nadu, India
Workplace
Employment
Salary
Apply on the employer’s site

Posted 25d ago

Role Overview

We are looking for a highly skilled professional with a unique blend of Java Development, Power BI Analytics, Payments Domain expertise, and Generative AI exposure. The ideal candidate will be responsible for developing enterprise-grade applications, building business intelligence solutions, and driving data-driven decision-making within payment processing ecosystems.

The candidate should be comfortable working across application development, reporting & analytics, and AI-assisted engineering initiatives. Recent internal initiatives have included AI-assisted development productivity, reporting modernisation, and payments-related transformation programmes.

Key Responsibilities

  • Design, develop, and maintain scalable applications using Java, Spring Boot, REST APIs, and Microservices.
  • Develop and maintain Power BI dashboards, reports, and analytical models for business and operational reporting.
  • Collaborate with business stakeholders to gather reporting and analytics requirements.
  • Build data integration solutions between transactional systems, databases, and reporting platforms.
  • Develop reusable data models and KPIs for operational and executive reporting.
  • Work on payment processing applications, transaction reporting, settlement, reconciliation, and operational analytics.
  • Participate in solution design, code reviews, testing, and deployment activities.
  • Leverage GenAI tools such as GitHub Copilot, Microsoft Copilot, ChatGPT, or similar platforms to improve development productivity, documentation, reporting automation, and code quality. AI-assisted engineering and reporting initiatives are actively being adopted across BFSI/FIS programmes.
  • Support Agile delivery and continuous improvement initiatives.

Mandatory Skills

Java Development

  • 5–10 years of software development experience.
  • Strong hands-on experience in:
  • Java 8+
  • Spring Boot
  • Microservices
  • REST APIs
  • SQL
  • Git
  • Maven/Gradle
  • CI/CD pipelines

Power BI

  • Strong expertise in:
  • Power BI Dashboard Development
  • DAX
  • Power Query
  • Data Modelling
  • Report Optimization
  • Data Visualization Best Practices
  • Experience integrating Power BI with SQL Server, Oracle, Snowflake, Azure, or similar platforms.

Payments Domain (Mandatory)

Candidate must possess strong functional understanding of

  • Payments Processing
  • Cards & Payments
  • Payment Gateways
  • Merchant Acquiring
  • Settlement & Reconciliation
  • SWIFT / Wire Transfers
  • ACH / SEPA / RTP
  • Transaction Lifecycle Management
  • Banking & Financial Services Operations

GenAI Skills (Mandatory)

Hands-on experience using GenAI tools for

  • Code Generation
  • Code Review
  • Documentation Generation
  • Report Development Assistance
  • Data Analysis & Insights Generation
  • Test Case Creation
  • Productivity Improvement

Candidates with certifications, training, or practical implementation experience in GitHub Copilot, Microsoft Copilot, AI-Assisted Engineering, Prompt Engineering, RAG, or GenAI solutions will be preferred. Internal BFSI programmes are actively driving AI-assisted engineering and reporting transformation initiatives

Key Responsibilities

  • Design, develop, and maintain scalable applications using Java, Spring Boot, REST APIs, and Microservices.
  • Develop and maintain Power BI dashboards, reports, and analytical models for business and operational reporting.
  • Collaborate with business stakeholders to gather reporting and analytics requirements.
  • Build data integration solutions between transactional systems, databases, and reporting platforms.
  • Develop reusable data models and KPIs for operational and executive reporting.
  • Work on payment processing applications, transaction reporting, settlement, reconciliation, and operational analytics.
  • Participate in solution design, code reviews, testing, and deployment activities.
  • Leverage GenAI tools such as GitHub Copilot, Microsoft Copilot, ChatGPT, or similar platforms to improve development productivity, documentation, reporting automation, and code quality. AI-assisted engineering and reporting initiatives are actively being adopted across BFSI/FIS programmes.
  • Support Agile delivery and continuous improvement initiatives.

Mandatory Skills

Java Development

  • 5–10 years of software development experience.
  • Strong hands-on experience in:
  • Java 8+
  • Spring Boot
  • Microservices
  • REST APIs
  • SQL
  • Git
  • Maven/Gradle
  • CI/CD pipelines

Power BI

  • Strong expertise in:
  • Power BI Dashboard Development
  • DAX
  • Power Query
  • Data Modelling
  • Report Optimization
  • Data Visualization Best Practices
  • Experience integrating Power BI with SQL Server, Oracle, Snowflake, Azure, or similar platforms.

Payments Domain (Mandatory)

Candidate must possess strong functional understanding of

  • Payments Processing
  • Cards & Payments
  • Payment Gateways
  • Merchant Acquiring
  • Settlement & Reconciliation
  • SWIFT / Wire Transfers
  • ACH / SEPA / RTP
  • Transaction Lifecycle Management
  • Banking & Financial Services Operations

GenAI Skills (Mandatory)

Hands-on experience using GenAI tools for

  • Code Generation
  • Code Review
  • Documentation Generation
  • Report Development Assistance
  • Data Analysis & Insights Generation
  • Test Case Creation
  • Productivity Improvement

Candidates with certifications, training, or practical implementation experience in GitHub Copilot, Microsoft Copilot, AI-Assisted Engineering, Prompt Engineering, RAG, or GenAI solutions will be preferred. Internal BFSI programmes are actively driving AI-assisted engineering and reporting transformation initiatives

Skills

  • Java
  • Power BI
  • Generative AI
  • Spring Boot
  • GitHub Copilot
  • Microsoft Copilot
  • ChatGPT
  • SQL
  • Git
  • Maven
  • Gradle
  • DAX
  • SQL Server
  • Oracle Database
  • Snowflake
  • Azure
  • Prompt Engineering
  • Retrieval-Augmented Generation

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