Wissen Technology

Must of Skills/Experience 

• System Design

• Python

• TensorFlow

• Google ADK or Lang Graph

• Lang Chain , Lang Graph

• Spark

• Agentic AI Design

• ML Ops

• MCP (client and server)

• FastAPI

• Doc Factory

• RAG

• Golang

• LLMs – Gemini, Open AI

• NLP

• Dev Assistant - AI based code - generation

(Qwen or Claude or Copilot)

• CI/CD

• Good in oral and written communication,

collaboration and be a team player

Good to have skills 

• DevOps with K8

• Scripting

• Java

• REST API

• UV

• ReACT

• DocFactory

• Unix

Job Description:

Experience: 10+ Years

Job Summary

We are looking for an experienced Azure Fabric Data Architect to lead the design and implementation of an enterprise data platform on Microsoft Fabric. The role involves architecting scalable data solutions, defining data governance, and enabling AI-driven analytics for a global financial services client.

Key Responsibilities

• Design end-to-end data architecture using Microsoft Fabric.
• Build enterprise Lakehouse, Data Warehouse, and OneLake solutions.
• Define data ingestion, ETL/ELT, governance, security, and performance strategies.
• Lead architecture for AI-powered analytics, AI Agents, and enterprise chatbots using Azure AI services.
• Work with business stakeholders to translate requirements into technical solutions.
• Mentor engineering teams and provide technical leadership.

Required Skills

• Microsoft Fabric (Data Factory, Lakehouse, Data Warehouse, OneLake)
• Azure Data Engineering
• Power BI
• Azure AI Services / Azure OpenAI
• Data Architecture & Data Modeling
• SQL, Python
• Azure DevOps, CI/CD
• Strong stakeholder management and solution design experience
• 
  

Preferred: Experience in Capital Markets or Financial Services and Microsoft Azure/Fabric certifications.

NOTE: One technical round is mandatory to be taken F2F from office.

Key Responsibilities

Build and maintain data transformation pipelines using java Spark

Develop and optimize large-scale/CPU intensive data processing using Apache Spark

Orchestrate workflows using Airflow

Implement data quality checks, testing, and monitoring for pipeline. Good to have exposer into managing metadata, cataloguing, and lineage

Support schema evolution, backfills, and incremental processing

Ensure pipelines meet SLAs for freshness, reliability, and performance

Expertise/working knowledge in Spark and HBase(semantic layer, virtual datasets, Reflections)

Required Skills & Qualifications

Strong hands-on experience with Apache Spark

Experience with HBase/SQL or similar lakehouse query engines

Airflow 

Understanding of data catalogs and lineage (e.g., OpenLineage, DataHub, Apache Polaris , openlineage)

Proficiency in Java

Experience with Git-based development and CI/CD

JOB DESCRIPTION

Experience: 5-8 years

Fullstack Developer (React Heavy+ Java)

Required Skills and Qualifications 

Frontend: 

• Proficient in React.js 

• Experience with Redux, React Hooks, and component-based architecture 

• Familiarity with front-end build tools (Webpack, Babel, NPM)

Backend: 

• Strong programming skills in Core Java, Java 8+ 

• Experience with Spring Boot, RESTful APIs, Microservices architecture 

• Good understanding of JPA/Hibernate, and SQL/NoSQL databases 

Key Responsibilities

• Develop and maintain scalable backend services using Core Java / Spring Boot 

• Design and implement responsive, high-quality front-end interfaces using React.js 

• Integrate backend APIs with frontend components seamlessly 

• Collaborate with product managers, architects, and QA to deliver quality software 

• Ensure code quality through unit testing, code reviews, and performance tuning 

• Troubleshoot and debug production issues as needed

Location: Bangalore

Company: Wissen Technology

Experience: 8+ Years

About the Role

Wissen Technology is looking for a highly experienced Senior Java Architect to join our engineering team. In this role, you will design, develop, and maintain scalable, high-performance platform services that power mission-critical financial applications.

The ideal candidate will have deep expertise in Core Java, platform engineering, REST API development, and extensive experience working within the Financial Services domain.

Key Responsibilities

Platform Design & Development

• Design, develop, and maintain scalable, high-performance, and reliable platform services using Core Java.
• Build, integrate, and support RESTful APIs and web services.
• Write clean, maintainable, well-documented, and testable code.
• Participate in code reviews and promote engineering best practices.
• Contribute to architectural decisions and platform design initiatives.

Performance & Platform Engineering

• Optimize application performance, scalability, and reliability.
• Troubleshoot and resolve complex technical issues.
• Ensure platform security, availability, and operational excellence.
• Implement best practices for concurrency, multithreading, memory management, and performance tuning.

Data Management

• Work with both SQL and NoSQL databases.
• Design efficient data access and persistence strategies.
• Apply strong data modeling principles and database optimization techniques.

Financial Services Domain

• Develop solutions aligned with financial industry standards and regulatory requirements.
• Leverage a strong understanding of financial systems, products, and workflows.
• Ensure secure handling of sensitive financial data while maintaining compliance.

Automation & Workflow Management

• Utilize Python for scripting, automation, and operational tasks.
• Work with Apache Airflow (or similar workflow orchestration tools) to schedule and manage data pipelines.

Collaboration & Leadership

• Collaborate with Product Managers, Architects, QA Engineers, and cross-functional development teams.
• Communicate effectively with both technical and business stakeholders.
• Mentor junior engineers and contribute to the team's technical growth.
• Participate in Agile ceremonies and drive continuous improvement initiatives.

Required Qualifications

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
• 10+ years of hands-on experience in Core Java development.
• Strong experience building and maintaining enterprise-scale platform services.
• Expertise in Object-Oriented Programming (OOP), design patterns, and software engineering principles.
• Proven experience designing and developing RESTful APIs.
• Deep understanding of concurrency, multithreading, memory management, and performance optimization.
• Hands-on experience with SQL and NoSQL databases.
• Significant experience within the Financial Services industry.
• Exposure to Python scripting and automation.
• Experience with Apache Airflow or similar workflow management tools.
• Strong analytical, problem-solving, and troubleshooting skills.
• Excellent communication and stakeholder management abilities.
• Experience working in Agile/Scrum environments.

Preferred Qualifications

• Experience with cloud platforms such as AWS, Azure, or GCP.
• Hands-on experience with Docker and Kubernetes.
• Experience with messaging technologies such as Kafka or RabbitMQ.
• Understanding of financial regulations, governance, and compliance requirements.

Why Join Wissen Technology?

• Work on mission-critical platforms for leading financial institutions.
• Gain exposure to modern engineering practices and cloud-native technologies.
• Be part of a collaborative, innovation-driven engineering culture.
• Enjoy a hybrid work model based in Bangalore or Mumbai.
• Accelerate your career with opportunities for continuous learning and growth.

Job Summary:

We are seeking highly skilled Java Developers with hands-on experience in developing 

enterprise-scale applications, preferably within the financial services domain. The role 

requires expertise in Core Java, Microservices, and high-performance server-side 

development.

Key Responsibilities:

• Design, develop, and maintain enterprise-scale n-tier applications in the financial 

domain.

• Develop complex, low-latency, client-facing applications with a focus on performance 

and scalability.

• Work with Microservices architecture, Data Structures, OOPs, Algorithms, and 

Multithreading.

• Perform high-level and low-level design for critical applications.

• Collaborate with cross-functional teams to define, design, and deliver new features.

• Ensure best practices in coding, architecture, and application performance.

Requirements:

• Strong experience in Core Java 5.0 and above, Spring, and CXF.

• Extensive experience in enterprise application design patterns and architecture.

• Strong development experience with RDBMS (preferably Sybase).

Experience: 7+ years

Location: Mumbai

Mode of Work: Hybrid

• Hands-on expertise in multithreading and high-volume server-side applications.

• Experience in sales and trading platforms in investment banking/capital markets.

• Basic working knowledge of Unix/Linux.

• Excellent problem-solving and coding skills in Java.

• Strong interpersonal, communication, and analytical skills.

• Ability to express design ideas and collaborate effectively with teams

Job Title

Python Full Stack Developer – AI

Experience: 6-9 Years

Location: Bangalore (Hybrid)

Employment Type: Full-Time

Job Summary

We are seeking a highly skilled Python Full Stack Developer with AI expertise to design, develop, and deploy scalable AI-powered applications. The ideal candidate should have strong experience in Python, Full Stack Development, REST APIs, modern frontend frameworks, and Generative AI technologies, including LLMs, prompt engineering, and AI integrations.

The role involves building end-to-end web applications, integrating AI models, and collaborating with cross-functional teams to deliver innovative AI-driven solutions.

Key Responsibilities

· Design, develop, and maintain scalable full-stack applications using Python.

· Build responsive and interactive user interfaces using React.js, Angular, or Vue.js.

· Develop backend services and RESTful APIs using Django, Flask, or FastAPI.

· Integrate Generative AI models such as OpenAI GPT, Claude, Gemini, or Llama into business applications.

· Develop AI-powered chatbots, assistants, document processing, and workflow automation solutions.

· Implement prompt engineering techniques to optimize AI model performance.

· Build Retrieval-Augmented Generation (RAG) pipelines using vector databases.

· Work with LangChain, LangGraph, or LlamaIndex for LLM orchestration.

· Integrate AI APIs and third-party services into enterprise applications.

· Design and optimize SQL and NoSQL databases.

· Deploy applications on AWS, Azure, or GCP.

· Develop CI/CD pipelines and manage deployments using Docker and Kubernetes.

· Write clean, reusable, and well-documented code following best practices.

· Participate in Agile ceremonies, code reviews, and sprint planning.

Required Technical Skills

Backend

· Python

· Django

· Flask

· FastAPI

Frontend

· React.js / Angular / Vue.js

· HTML5

· CSS3

· JavaScript (ES6+)

· TypeScript

AI / Generative AI

· OpenAI API

· Azure OpenAI

· Gemini API

· Claude API

· Llama Models

· LangChain

Databases

· PostgreSQL

· MySQL

· MongoDB

· Redis

Cloud & DevOps

· AWS / Azure / Google Cloud Platform

· Docker

· Kubernetes

· Git

· GitHub

· Jenkins

· CI/CD

API Development

· REST APIs

· GraphQL (Preferred)

· API Integration

Preferred Skills

· Machine Learning fundamentals

· NLP (Natural Language Processing)

· Hugging Face Transformers

· TensorFlow or PyTorch

· Kafka or RabbitMQ

· Elasticsearch

· Microservices Architecture

· Authentication (OAuth2, JWT)

Qualifications

· Bachelor's or Master's degree in Computer Science, Information Technology, or a related field.

· 6–9 years of experience in Python Full Stack Development.

· Hands-on experience with Generative AI and LLM-based application development.

· Experience working in Agile/Scrum environments. 

About the Role

We are looking for a Senior Data Engineer with strong hands-on expertise in Databricks, Python, PySpark, and SQL to build scalable, high-performance data engineering solutions. You’ll architect and develop large scale, high-performance data pipelines capable of handling massive real-time and batch data volumes across multiple business systems. Databricks is the core enterprise data and processing platform for this role. You will also use Apache Airflow for workflow orchestration and dbt for ELT transformations, and will contribute to designing reliable, secure, and governed data platforms that enable analytics, reporting, and AI-driven use cases.

Key Responsibilities

• Design and implement large-scale data pipelines using Python/PySpark, Databricks, and Microsoft Fabric.
• Develop and optimize data processing workloads in Databricks using PySpark and Spark SQL, with a strong focus on scalability, reliability, performance, and maintainability.
• Develop and maintain dbt models including layered architecture, incremental models, snapshots, macros, testing, and documentation.
• Design, develop, and maintain Apache Airflow DAGs for orchestrating reliable, scalable, and observable data pipelines.
• Design and implement data quality, observability, and governance frameworks, including automated testing, monitoring, lineage, access control, and data privacy standards.
• Partner with analytics, product, and business stakeholders to turn requirements into trustworthy datasets, and raise the engineering bar through design discussions, code reviews, and mentoring junior engineers.

Required Skills

• Strong expertise in Python for developing scalable, modular, and production-ready data engineering applications.
• Strong expertise in PySpark, including DataFrame API, Spark SQL, Structured Streaming, partitioning strategies, joins, caching, handling data skew, and Spark performance optimization.
• Strong hands-on experience with Databricks for data ingestion, transformation, processing, and optimization, including Delta Lake, Unity Catalog, Databricks Workflows, notebooks, jobs, and Databricks-native data engineering capabilities.
• Strong experience in Databricks/Spark performance tuning, including query and job optimization, partitioning, file sizing, caching, join optimization, handling data skew, and efficient use of compute resources.
• Hands-on experience with Delta Lake, including transactional data processing, schema management, incremental data processing, and reliable batch and streaming data pipelines.
• Hands-on experience in developing dbt projects using layered architecture, incremental models, snapshots, macros/Jinja, testing, documentation, and deployment best practices.
• Expertise in advanced SQL and data modelling — dimensional modeling, slowly changing dimensions, schema evolution, and query optimization.
• Hands-on experience in developing and managing Apache Airflow DAGs, scheduling workflows, dependency management, retries, backfills, and operational monitoring.
• Hands-on experience with at least one major cloud platform (AWS, Azure or GCP).
• Strong problem-solving skills and the ability to work independently with business and analytics stakeholders.

Nice to Have

• Hands-on exposure to Microsoft Fabric for data integration and analytics.
• Experience using AI coding assistants (e.g. Claude Code, GitHub Copilot) as part of a development workflow.
• Familiarity with modern DevOps practices, including CI/CD pipelines, Infrastructure as Code (IaC), and containerization (Docker/Kubernetes).
• Domain expertise in financial services.

Must have

Experience in the Core Java development 

Good understanding of Object Oriented Design, Design Patterns and data structure algorithms

Experience in Multi-threading, Hashmaps, Collection arrays

Experience in Java collections

Experience in developing applications using Spring Boot

Proficient in building Micro Services with Java 1.8 or higher, J2EE, Spring, Spring Boot.

Proficient with No SQL and Relational Databases

Hands on experience in Unit testing frameworks like Junit / Mockito OR TDD

Job Summary

We are looking for a skilled and experienced Data Engineer to join our growing data team. The ideal candidate will have strong expertise in Python, PySpark, Data Modeling, and Power BI, with hands-on experience in designing, developing, and optimizing scalable data solutions. The role requires working closely with business stakeholders, data architects, and analytics teams to build robust data pipelines and semantic models that enable data-driven decision-making.

Technical Skills

• Strong hands-on experience in Python and PySpark development.
• Expertise in building and optimizing Data Engineering solutions and ETL pipelines.
• Strong understanding of Data Modeling concepts (Star Schema, Snowflake Schema, Dimensional Modeling).
• Experience with Power BI Data Modeling and Semantic Layer development.
• Proficiency in DAX (Data Analysis Expressions).
• Experience designing and managing Semantic Models in Power BI.
• Strong SQL skills and experience working with large datasets.
• Knowledge of data warehousing concepts and best practices.

Preferred Skills

• Experience with cloud platforms such as Azure, AWS, or GCP.
• Exposure to modern data platforms like Databricks.
• Understanding of data governance and data quality frameworks.