

Greetings , Wissen Technology is Hiring for the position of Data Engineer
Please find the Job Description for your Reference:
JD
- Design, develop, and maintain data pipelines on AWS EMR (Elastic MapReduce) to support data processing and analytics.
- Implement data ingestion processes from various sources including APIs, databases, and flat files.
- Optimize and tune big data workflows for performance and scalability.
- Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and deliver solutions.
- Manage and monitor EMR clusters, ensuring high availability and reliability.
- Develop ETL (Extract, Transform, Load) processes to cleanse, transform, and store data in data lakes and data warehouses.
- Implement data security best practices to ensure data is protected and compliant with relevant regulations.
- Create and maintain technical documentation related to data pipelines, workflows, and infrastructure.
- Troubleshoot and resolve issues related to data processing and EMR cluster performance.
Qualifications:
- Bachelor’s degree in Computer Science, Information Technology, or a related field.
- 5+ years of experience in data engineering, with a focus on big data technologies.
- Strong experience with AWS services, particularly EMR, S3, Redshift, Lambda, and Glue.
- Proficiency in programming languages such as Python, Java, or Scala.
- Experience with big data frameworks and tools such as Hadoop, Spark, Hive, and Pig.
- Solid understanding of data modeling, ETL processes, and data warehousing concepts.
- Experience with SQL and NoSQL databases.
- Familiarity with CI/CD pipelines and version control systems (e.g., Git).
- Strong problem-solving skills and the ability to work independently and collaboratively in a team environment

About Wissen Technology
About
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.
With offices in 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.
Leveraging our multi-site operations in the USA and India and availability of world-class infrastructure, we offer a combination of on-site, off-site and offshore service models. Our technical competencies, proactive management approach, proven methodologies, committed support and the ability to quickly react to urgent needs make us a valued partner for any kind of Digital Enablement Services, Managed Services, or Business Services.
We believe that the technology and thought leadership that we command in the industry is the direct result of the kind of people we have been able to attract, to form this organization (you are one of them!).
Our workforce consists of 1000+ highly skilled professionals, with leadership and senior management executives who have graduated from Ivy League Universities like MIT, Wharton, IITs, IIMs, and BITS and with rich work experience in some of the biggest companies in the world.
Wissen Technology has been certified as a Great Place to Work®. 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.
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Duties
About Us:
We are a UK-based conveyancing firm dedicated to transforming property transactions through cutting-edge artificial intelligence. We are seeking a talented Machine Learning Engineer with 1–2 years of experience to join our growing AI team. This role offers a unique opportunity to work on scalable ML systems and Generative AI applications in a dynamic and impactful environment.
Responsibilities:
Design, Build, and Deploy Scalable ML Models
You will be responsible for end-to-end development of machine learning and deep learning models that can be scaled to handle real-world data and use cases. This includes training, testing, validating, and deploying models efficiently in production environments.
Develop NLP-Based Automation Solutions
You'll create natural language processing pipelines that automate tasks such as document understanding, text classification, and summarisation, enabling intelligent handling of property-related documents.
Prototype and Implement Generative AI Tools
Work closely with AI researchers and developers to experiment with and implement Generative AI techniques for tasks like content generation, intelligent suggestions, and workflow automation.
Integrate ML Models with APIs and Tools
Integrate machine learning models with external APIs and internal systems to support business operations and enhance customer service workflows.
Maintain CI/CD for ML Features
Collaborate with DevOps teams to manage CI/CD pipelines that automate testing, validation, and deployment of ML features and updates.
Review, Debug, and Optimise Models
Participate in thorough code reviews and model debugging sessions. Continuously monitor and fine-tune deployed models to improve their performance and reliability.
Cross-Team Communication
Communicate technical concepts effectively across teams, translating complex ML ideas into actionable business value.
· Design, build, and deploy scalable ML and deep learning models for real-world applications.
· Develop NLP-based and Gen AI based solutions for automating document understanding, classification, and summarisation.
· Collaborate with AI researchers and developers to prototype and implement Generative AI tools.
· Integrate ML and Gen AI models with APIs and internal tools to support business operations.
· Work with CI/CD pipelines to ensure continuous delivery of ML features and updates.
· Participate in code reviews, debugging, and performance optimisation of deployed models.
· Communicate technical concepts effectively across cross-functional teams.
Essentials From Day 1:
Security and Compliance:
• Ensure ML systems are built with GDPR compliance in mind.
• Adhere to RBAC policies and maintain secure handling of personal and property data.
Sandboxing and Risk Management:
• Use sandboxed environments for testing new ML features.
• Conduct basic risk analysis for model performance and data bias.
• Use sandboxed environments for testing and development.
• Evaluate and mitigate potential risks in model behavior and data pipelines
Qualifications:
· 1–2 years of professional experience in Machine Learning and Deep Learning projects.
· Proficient in Python, Object-Oriented Programming (OOPs), and Data Structures & Algorithms (DSA).
· Strong understanding of NLP and its real-world applications.
· Exposure to building scalable ML systems and deploying models into production.
· Basic working knowledge of Generative AI techniques and frameworks.
· Familiarity with CI/CD tools and experience with API-based integration.
· Excellent analytical thinking and debugging capabilities.
· Strong interpersonal and communication skills for effective team collaboration.
Key Responsibilities:
- Minimum of 3 years of experience in Microservices architecture and Java, with a good understanding of design patterns and the Spring Boot framework, with the ability to collaborate effectively with team members and build positive working relationships.
- Design and build and deploy APIs to meet business requirements.
- High level of commitment to business satisfaction and agility.
- Strong work ethic and a passion for the role, with a positive attitude and a willingness to learn.
- Communicate effectively with the tech lead to thoroughly understand the requirements and highlight any blockers immediately.
- Handle programming and software development, including requirement gathering, bug fixing, testing, documenting, and implementation.
- Work in an agile environment to deliver high-quality solutions.
- Understand and implement Security, Logging, Auditing, Policy Management, and Performance Monitoring.
- Familiarity with relational databases (E.g.: Oracle), non-relational databases (E.g.: MongoDB), MSK Kafka, Docker, Kubernetes, and CICD Technologies (Jenkins, GitHub, Maven)
Qualification- Graduation: Bachelor of Science (B.Sc) / Bachelor of Technology (B.Tech) / Bachelor of Computer Applications (BCA)
Post-Graduation: Master of Science (M.Sc) /Master of Technology (M.Tech) / Master of Computer Applications (MCA)

Experience: 2 to 4 years
CTC Offered: Upto 15lpa
Job Description:
- In-depth knowledge of JavaScript, CSS, HTML, and front-end languages.
- Knowledge of REACT tools React Components designing, React-Bootstrap.
- Experience with user interface design.
- Experience with responsive and adaptive design.
- Understanding of SEO principles.
- Experience with browser-based debugging and performance testing software.
- Excellent troubleshooting skills.
- Good project management skills.
Interview Process:
- Personal interview with Sr. Manager (Technical Round)
- Personal Interview with HOD (Technical + Behavioural)
Brief on Amplior:-
- We are a Global B2B Tech-driven start-up lead generation company, with an awesome team, generating significant value
- We do things a bit differently... There is no corporate nonsense, and no old-fashioned hierarchy. Instead, we work in self-sufficient, autonomous teams
- Mostly, you’re your own boss, you also get plenty of guidance and support from super talented, smart colleagues, always pushing the boundaries of innovation
- We believe that people from different backgrounds, identities, and experiences, make our product and the company better.
Job Profile - Client Partner and Client Partner (Intern)
- Our Client Partners have Great comm skills and confidence
- Experience is welcome but not a necessity, Interns welcome
- Apply if you want to make a great career in marketing, sales, especially B2B (Business to business)
- You need to be Eager to learn more, ready to do quality conversations with Senior Executives in the biggest of the companies PAN India and Globally
- Love to research and find out about potential business prospects for our clients



Requirement
- Strong knowledge of Php frameworks (Laravel, Zend must).
- Strong knowledge of front-end technologies, such as react js or Vue js.
- Knowledge of Object-Oriented Programming.
- Write effective APIs.
- Write technical documentation.
- Familiarity with SQL/No SQL databases.
- Understanding of code versioning tools like Github.
- Take full responsibility for task/project execution
- Good problem-solving skills, Data structures, and Algorithms.
- Should have experience in Webservices (SOAP/REST) and JSON
- Develop and deploy new features to facilitate related procedures and tools if necessary.
- Excellent communication and teamwork skills.
- Work with us as a team leader.


⦁ 2+ years of working experience as a software engineer.
⦁ Engineer capable of designing solutions, writing code, and deployment
⦁ Demonstrated skills, knowledge, and expertise with statistical computer languages (Python, Django) and the related ecosystem (PyCharm, Jupyter)
⦁ Good knowledge of Python.
⦁ Creative problem-solving ability and sound judgment ability to use own initiative and take responsibility for decisions.
Candidate must have
⦁ Good knowledge of Python
⦁ Django, Flask, FastApi
⦁ Candidates must have knowledge about Product Development.
⦁ Candidates must have Technical Degree.
Skills
⦁ Developing back-end components.
⦁ Design and develop web applications in Python, and Django.
⦁ Good knowledge of Django, Flask, FastApi
⦁ Must be proficient in writing python codes
⦁ Must have worked on back-end development
⦁ Integrate Python application with other internal applications.
⦁ Strong spoken and written communication skills in English

Roles and Responsibilities:
- Review training content and assessments. The review parameters include (but are not limited to) the following:
○ Rewrite the training content wherever necessary to simplify it or to make it more age
appropriate.
○ Create engaging learning activities and provide exercises and activities that enhance
the learning process.
○ Devise modes of assessment, such as tests or quizzes, to measure the effectiveness
of course.
○ Analyze and apply trends and best practices in learning technologies and instructional
design.
○ Suggest instructional enhancements to the content and assessments so the learning
experience is superior.
○ Check if all the training assets follow the instructional guidelines.
○ Work with subject matter experts to identify target audience’s training needs
○ Do a thorough language review.
○ Do a thorough formatting check and fixes.
- Brainstorm with the content developer to storyboard the concepts introduced in a lesson/chapter.
- Create guidelines and templates as and when needed.
- Conduct audits of the live classes to check how the content is getting translated into the actual class experience.
- Give inputs for process improvements.
Skill Set:
- General:
- In-depth understanding of activity based teaching-learning methods with a strong knowledge of pedagogies to teach 21st Century Skills.
- At least 3-4 years of experience in instructional design and/or content writing.
- Experience in editing documents with an eye for details.
- Demonstrated ability to meet deadlines, handle and prioritize simultaneous requests, and manage laterally and upwards.
- Creative and analytical thinker with strong problem-solving skills.
- Excellent verbal and written communication skills.
○ Must demonstrate the ability to communicate effectively at all levels of the
organization.
- Technical:
- Understanding of Object-Oriented concepts.
- Basic understanding of core programming concepts with teaching skills will be an asset.
- Good exposure on-
- Object-Oriented Programming language(s) (preferably JavaScript/Python)
- Web Technology (HTML/CSS/JavaScript)- Front End Development
- Block-Based Coding environment like Code.org or Scratch will be a plus
- Knowledge of RDBMS (MySQL, Airtable, Firebase etc.) will be an added advantage
- Azure Data Factory, Azure Data Bricks, Talend, BODS, Jenkins
- Microsoft Office (mandatory)
- Strong knowledge on Databases, Azure Synapse, data management, SQL
- Knowledge on any cloud platforms (Azure, AWS etc.,)
Basic Qualifications
- Solid knowledge of algorithms/data structures is a must
- Strong Java software development experience – with a focus on Java 8 & 9
- Experience with NoSql databases – ideally with MongoDB
- Experience implementing REST apis – ideally with JAX-RS
- Experience with Reactive Programming – ideally with RxJava
- Experience implementing unit tests
Preferred Qualifications
- Experience developing applications in fintech or established financial institutions
- Experience with microservice architectures
- Experience developing systems that can scale to large amounts of data
- Experience working in Agile Scrum
- Experience working on a globally distributed team


