.NET Developer

Role : Java Developer

Location : Bangalore

Key responsibilities

• Experience – 3 to 8 years of experience.
• Experience in Core Java and Spring Boot.
• Extensive experience in developing enterprise-scale applications and systems. Should possess good architectural knowledge and be aware of enterprise application design patterns.
• Should have the ability to analyze, design, develop and test complex, low-latency client facing applications.
• Good development experience with RDBMS
• Good knowledge of multi-threading and high-performance server-side development.
• Basic working knowledge of Unix/Linux.
• Excellent problem solving and coding skills.
• Strong interpersonal, communication and analytical skills.
• Should have the ability to express their design ideas and thoughts.

About Wissen Technology:

The Wissen Group was founded in the year 2000. Wissen Technology, a part of Wissen Group, was established in the year 2015. Wissen Technology is a specialized technology company that delivers high-end consulting for organizations in the Banking & Finance, Telecom, and Healthcare domains. We help clients build world class products.

Our workforce consists of highly skilled professionals, with leadership and senior management executives who have graduated from Ivy League Universities like Wharton, MIT, IITs, IIMs, and NITs and with rich work experience in some of the biggest companies in the world. Wissen Technology has grown its revenues by 400% in these five years without any external funding or investments. Globally present with offices US, India, UK, Australia, Mexico, and Canada.

We offer an array of services including Application Development, Artificial Intelligence & Machine Learning, Big Data & Analytics, Visualization & Business Intelligence, Robotic Process Automation, Cloud, Mobility, Agile & DevOps, Quality Assurance & Test Automation.

We have been certified as a Great Place to Work® company for two consecutive years (2020-2022) and voted as the Top 20 AI/ML vendor by CIO Insider.

Over the years, Wissen Group has successfully delivered $650 million worth of projects for more than 20 of the Fortune 500 companies. Wissen Technology provides exceptional value in mission critical projects for its clients, through thought leadership, ownership, and assured on-time deliveries that are always ‘first time right’.

The technology and thought leadership that the company commands in the industry is the direct result of the kind of people Wissen has been able to attract. Wissen is committed to providing them the best possible opportunities and careers, which extends to providing the best possible experience and value to our clients. We have served clients across sectors like Banking, Ecommerce, Telecom, Healthcare, Manufacturing, and Energy.

Career Progression:

At Wissen Technology, your career growth is important for us. Therefore, we put in several efforts towards each employee’s career progression – to enable and empower them to grow within the company as well as to instill a sense of responsibility, loyalty, and trust.

There have been instances where a software engineer has grown from being an individual contributor to technical lead and now on the path to becoming a director responsible for growing revenues and profitability. We deeply value Ownership: taking responsibility, making it happen, not letting the ball drop, and being accountable.

The Sr. Analytics Engineer would provide technical expertise in needs identification, data modeling, data movement, and transformation mapping (source to target), automation and testing strategies, translating business needs into technical solutions with adherence to established data guidelines and approaches from a business unit or project perspective.

Understands and leverages best-fit technologies (e.g., traditional star schema structures, cloud, Hadoop, NoSQL, etc.) and approaches to address business and environmental challenges.

Provides data understanding and coordinates data-related activities with other data management groups such as master data management, data governance, and metadata management.

Actively participates with other consultants in problem-solving and approach development.

Responsibilities :

Provide a consultative approach with business users, asking questions to understand the business need and deriving the data flow, conceptual, logical, and physical data models based on those needs.

Perform data analysis to validate data models and to confirm the ability to meet business needs.

Assist with and support setting the data architecture direction, ensuring data architecture deliverables are developed, ensuring compliance to standards and guidelines, implementing the data architecture, and supporting technical developers at a project or business unit level.

Coordinate and consult with the Data Architect, project manager, client business staff, client technical staff and project developers in data architecture best practices and anything else that is data related at the project or business unit levels.

Work closely with Business Analysts and Solution Architects to design the data model satisfying the business needs and adhering to Enterprise Architecture.

Coordinate with Data Architects, Program Managers and participate in recurring meetings.

Help and mentor team members to understand the data model and subject areas.

Ensure that the team adheres to best practices and guidelines.

Requirements :

- Strong working knowledge of at least 3 years of Spark, Java/Scala/Pyspark, Kafka, Git, Unix / Linux, and ETL pipeline designing.

- Experience with Spark optimization/tuning/resource allocations

- Excellent understanding of IN memory distributed computing frameworks like Spark and its parameter tuning, writing optimized workflow sequences.

- Experience of relational databases (e.g., PostgreSQL, MySQL) and NoSQL databases (e.g., Redshift, Bigquery, Cassandra, etc).

- Familiarity with Docker, Kubernetes, Azure Data Lake/Blob storage, AWS S3, Google Cloud storage, etc.

- Have a deep understanding of the various stacks and components of the Big Data ecosystem.

- Hands-on experience with Python is a huge plus

We are looking for a skilled and experienced Node.js Developer with at least 4 years of professional experience to join our team. As a Node.js Developer, you will be responsible for developing robust and scalable web applications using JavaScript and various frameworks.

Roles and Responsibilities

• Production platform hands-on experience involving Node JS & REST API.

• Hands-on production platform experience working with micro-service back-end architecture.

• Working knowledge of GRPC, HTTPS, and GRAPHQ protocols.

• Well-versed in cloud deployment of code blocks.

• Experience with JS testing and code analysis frameworks such as Mocha.

• Utilize modern JavaScript frameworks such as Express.js and Sails.js to build efficient and scalable applications.

• Work with databases like MongoDB and PostgreSQL using Mongoose and Sequelize ORM.

• Integrate messaging systems like Kafka and RabbitMQ for reliable event-driven communication.

• Write unit tests using Mocha, Chai, and Jest frameworks to ensure code quality and reliability.

• Utilize AWS S3 bucket for secure and scalable storage of data and media files.

• Collaborate with QA engineers to perform thorough testing and bug fixes.

• Work with third-party APIs such as Postman, Twilio, SendGrid, Firebase, and KeyCloak for various integrations.

Job Description

1. 5- 8 yrs IT industry experience preferably Banking domain
2. Strong Python Skills and good understanding of Java and Microservices
3. Should have handled banking customers and exposure to Production support processes
4. Good in database and Pl/SQL – Ability to write SQL as and when needed  
5. Good attitude and communication
6. WFH not allowed – Working from Bank premises as per bank calendar in Saifabad or Hitech City – Saifabad Flexibility must

• Design and build user-facing products, owning the entire process from gathering functional requirements from teams, through testing and staging, to deploying in a Python based stack
• Guide the team in making technical trade-offs
• Proactively identify bottlenecks, areas for improvement and put forth a plan to course-correct
• Design and implement maintainable backend services, including data processing pipelines, APIs and internal tools
• Coordinating with internal teams to understand user requirements and provide technical solutions