Sr.ETL QA

Position Title : Java Full Stack Developer

Location : Noida Sector 125

Experience : 5+ Years

Availability : Immediate

Job Summary :

We are looking for a Java Full Stack Developer with expertise in Microservices architecture to join our team.

The ideal candidate should have hands-on experience in Java, Spring Boot, Hibernate, and front-end technologies like Angular, JavaScript, and Bootstrap. You will work on enterprise-grade applications that enhance patient safety worldwide.

Key Responsibilities :

• Design, develop, and maintain applications based on Microservices architecture.
• Work with Java, Spring Boot, Hibernate, Angular, Kafka, Redis, and Hazelcast to build scalable solutions.
• Utilize AWS, Git, Nginx, Tomcat, Oracle, Jira, Confluence, and Jenkins for development and deployment.
• Collaborate with cross-functional teams to develop enterprise applications.
• Develop intuitive UI/UX components using Bootstrap, jQuery, and JavaScript.
• Ensure applications meet performance, scalability, and security requirements.
• Participate in Agile development while efficiently handling changing priorities.
• Conduct code reviews, debugging, and performance optimization.

Required Skills & Qualifications :

✔ 5+ Years of hands-on experience in Java 7/8, Spring Boot, and Hibernate.

✔ Strong understanding of OOP concepts and Design Patterns.

✔ Experience working with relational databases like Oracle/MySQL.

✔ Proficiency in Bootstrap, JavaScript, jQuery, HTML, and Angular.

✔ Hands-on experience in Microservices-based application development.

✔ Strong problem-solving, debugging, and analytical skills.

✔ Excellent communication and collaboration skills.

✔ Ability to adapt to new technologies and handle multiple priorities.

✔ Experience in developing high-quality web applications.

Good to Have :

➕ Exposure to Kafka, Redis, and Hazelcast.

➕ Experience working with cloud-based solutions (AWS preferred).

➕ Familiarity with DevOps tools like Jenkins, Docker, and Kubernetes.

Why Join Us?

✅ Work on cutting-edge technologies and enterprise-level applications.

✅ Collaborative and innovative work environment.

✅ Competitive salary and career growth opportunities.

Data Scientist

Job Id: QX003

About Us:

QX impact was launched with a mission to make AI accessible and affordable and deliver AI Products/Solutions at scale for enterprises by bringing the power of Data, AI, and Engineering to drive digital transformation. We believe without insights, businesses will continue to face challenges to better understand their customers and even lose them; Secondly, without insights businesses won't’ be able to deliver differentiated products/services; and finally, without insights, businesses can’t achieve a new level of “Operational Excellence” is crucial to remain competitive, meeting rising customer expectations, expanding markets, and digitalization.

Position Overview:

We are seeking a collaborative and analytical Data Scientist who can bridge the gap between business needs and data science capabilities. In this role, you will lead and support projects that apply machine learning, AI, and statistical modeling to generate actionable insights and drive business value.

Key Responsibilities:

• Collaborate with stakeholders to define and translate business challenges into data science solutions.
• Conduct in-depth data analysis on structured and unstructured datasets.
• Build, validate, and deploy machine learning models to solve real-world problems.
• Develop clear visualizations and presentations to communicate insights.
• Drive end-to-end project delivery, from exploration to production.
• Contribute to team knowledge sharing and mentorship activities.

Must-Have Skills:

• 3+ years of progressive experience in data science, applied analytics, or a related quantitative role, demonstrating a proven track record of delivering impactful data-driven solutions.
• Exceptional programming proficiency in Python, including extensive experience with core libraries such as Pandas, NumPy, Scikit-learn, NLTK and XGBoost. 
• Expert-level SQL skills for complex data extraction, transformation, and analysis from various relational databases.
• Deep understanding and practical application of statistical modeling and machine learning techniques, including but not limited to regression, classification, clustering, time series analysis, and dimensionality reduction.
• Proven expertise in end-to-end machine learning model development lifecycle, including robust feature engineering, rigorous model validation and evaluation (e.g., A/B testing), and model deployment strategies.
• Demonstrated ability to translate complex business problems into actionable analytical frameworks and data science solutions, driving measurable business outcomes.
• Proficiency in advanced data analysis techniques, including Exploratory Data Analysis (EDA), customer segmentation (e.g., RFM analysis), and cohort analysis, to uncover actionable insights.
• Experience in designing and implementing data models, including logical and physical data modeling, and developing source-to-target mappings for robust data pipelines.
• Exceptional communication skills, with the ability to clearly articulate complex technical findings, methodologies, and recommendations to diverse business stakeholders (both technical and non-technical audiences).
• Experience in designing and implementing data models, including logical and physical data modeling, and developing source-to-target mappings for robust data pipelines.
• Exceptional communication skills, with the ability to clearly articulate complex technical findings, methodologies, and recommendations to diverse business stakeholders (both technical and non-technical audiences).

Good-to-Have Skills:

• Experience with cloud platforms (Azure, AWS, GCP) and specific services like Azure ML, Synapse, Azure Kubernetes and Databricks.
• Familiarity with big data processing tools like Apache Spark or Hadoop.
• Exposure to MLOps tools and practices (e.g., MLflow, Docker, Kubeflow) for model lifecycle management.
• Knowledge of deep learning libraries (TensorFlow, PyTorch) or experience with Generative AI (GenAI) and Large Language Models (LLMs).
• Proficiency with business intelligence and data visualization tools such as Tableau, Power BI, or Plotly.
• Experience working within Agile project delivery methodologies.

Competencies:

·        Tech Savvy - Anticipating and adopting innovations in business-building digital and technology applications.

·        Self-Development - Actively seeking new ways to grow and be challenged using both formal and informal development channels.

·        Action Oriented - Taking on new opportunities and tough challenges with a sense of urgency, high energy, and enthusiasm.

·        Customer Focus - Building strong customer relationships and delivering customer-centric solutions.

·        Optimizes Work Processes - Knowing the most effective and efficient processes to get things done, with a focus on continuous improvement.

Why Join Us?

• Be part of a collaborative and agile team driving cutting-edge AI and data engineering solutions.
• Work on impactful projects that make a difference across industries.
• Opportunities for professional growth and continuous learning.
• Competitive salary and benefits package.

The VTL / CNC / VMC / HMC Operator is responsible for operating and maintaining machine tools to produce precision components as per drawings and specifications. The role includes machine setup, tool handling, quality checks, and ensuring production targets are met while following safety and quality standards.

Key Responsibilities:

• Operate VTL, CNC, VMC, and HMC machines for machining operations
• Set up machines, load programs, and select appropriate tools
• Read and interpret engineering drawings and work instructions
• Monitor machining processes and make minor adjustments as required
• Perform dimensional inspection using vernier calipers, micrometers, and gauges
• Maintain production records and inspection reports
• Identify machine issues, tool wear, or defects and report to supervisors
• Ensure adherence to safety, quality, and housekeeping standards (5S)
• Support continuous improvement and productivity initiatives

We’re looking for a Senior B2B marketer

As our senior B2B marketer you need to set strategy mainly online, to attract user to the site and become our drop shipper/wholesaler, include India market, European market, US market, Australia market, UAE and Japan.

You will report to B2B performance manager and responsible for marketing activities within B2B define

What you will do:

· Define and execute the overall drop shipping/wholesaler global strategy;

· Identify on-site and off-site opportunities and make sure they are executed to increase the number of dropshippers/wholesaler globally

· Set strategy especially aim to recruit Indian drop shipper

· Stay on top of best practices, trends, and news in the field;

Must haves:

· Minimum 2-3 years of relevant work experience;

· Familiar with promote via Google and bing ads, social media networks 

· Fluent in Hindi and English (written & verbal);

· Familiar with basic knowledge of marketing

· Familiar with India market

· Attention to detail;

· Independent thinking, active and creative

· Strong learning ability and adaptability

· Wholesale/dropshipping related work experience is plus

We’re Hiring: Business Development Interns

Remote | Commission-Based + Performance Bonuses

EdTech | LMS + ERP for Schools

⸻

Help Transform Education in India

Student Diwan is a global EdTech platform delivering a powerful, user-friendly LMS + ERP system built for modern schools. As we expand into India, we’re looking for passionate, results-driven individuals to help introduce our platform to private, CBSE, ICSE, and international curriculum schools across the country.

This is a remote, commission-based role to start, with strong earning potential and performance-based career growth — including the possibility of transitioning to a base-pay + commission model depending on your results.

⸻

Role Overview

We’re seeking a dynamic Business Development Intern to lead our B2B sales journey — from identifying prospects to closing deals.

⸻

Responsibilities include:

• Reaching out to school decision-makers (owners, principals, IT heads, directors)

• Using tools like LinkedIn, ZoomInfo, SignalHire, or personal networks for outreach

• Conducting virtual product demos and school presentations

• Managing the full sales cycle: proposal → follow-up → negotiation → deal closure

• Providing regular market feedback to our team

• Meeting schools in-person, if needed, to establish trust

⸻

Requirements

• Experience in B2B sales or education-related outreach (EdTech/SaaS is a plus)

• Strong English communication skills (Hindi or regional language fluency is a bonus)

• Digital outreach experience (email, LinkedIn, prospecting tools)

• Confident in giving presentations and handling client objections

• Driven, reliable, and goal-focused

• Based in Tier-1 or Tier-2 cities in India (Delhi NCR, Mumbai, Bangalore, Chennai, Pune, Hyderabad, etc.)

⸻

What You Get

• Remote flexibility

• Attractive Commissions (10–15%) + Performance Bonuses

• Opportunity to grow into a base salary role after 4–6 months based on revenue milestones

• Join a fast-growing global EdTech company

• Build real relationships with India’s leading schools

Data Scientist-

We are looking for an experienced Data Scientists to join our engineering team and

help us enhance our mobile application with data. In this role, we're looking for

people who are passionate about developing ML/AI in various domains that solves

enterprise problems. We are keen on hiring someone who loves working in fast paced start-up environment and looking to solve some challenging engineering

problems.

As one of the earliest members in engineering, you will have the flexibility to design

the models and architecture from ground up. As any early-stage start-up, we expect

you to be comfortable wearing various hats, and be proactive contributor in building

something truly remarkable.

Responsibilities

Researches, develops and maintains machine learning and statistical models for

business requirements

Work across the spectrum of statistical modelling including supervised,

unsupervised, & deep learning techniques to apply the right level of solution to

the right problem Coordinate with different functional teams to monitor outcomes and refine/

improve the machine learning models Implements models to uncover patterns and predictions creating business value and innovation

Identify unexplored data opportunities for the business to unlock and maximize

the potential of digital data within the organization

Develop NLP concepts and algorithms to classify and summarize structured/unstructured text data

Qualifications

3+ years of experience solving complex business problems using machine

learning.

Fluency in programming languages such as Python, NLP and Bert, is a must

Strong analytical and critical thinking skills

Experience in building production quality models using state-of-the-art technologies 

Familiarity with databases like MySQL, Oracle, SQL Server, NoSQL, etc. is

desirable Ability to collaborate on projects and work independently when required.

Previous experience in Fintech/payments domain is a bonus

You should have Bachelor’s or Master’s degree in Computer Science, Statistics

or Mathematics or another quantitative field from a top tier Institute

Skills

• Strong proficiency in JavaScript, including DOM manipulation and the JavaScript object model.
• Expertise in backend programming with Node.js and MongoDB.
• Experience with React.js and redux.
• Material UI and 3rd party libraries.
• Experience with clean code writing practices like avoiding callback hell like promises, async.
• Thorough understanding of Node.js and its core principles.
• Experience with popular React.js workflows (such as Flux or Redux).
• Familiarity with newer specifications of ECMAScript.
• Experience with data structure libraries (e.g., Immutable.js).
• Familiarity with RESTful APIs.
• Knowledge of modern authorization mechanisms, such as JSON Web Token.
• Familiarity with modern front-end builds pipelines and tools.
• A knack for benchmarking and optimization.
• Familiarity with code versioning tools (such as Git, SVN, and Mercurial).

Responsibilities:

• Build Node.js APIs using microservices.
• Rewriting backend code with microservices architecture & Unit tests.
• Developing new user-facing features using React.js.
• Building reusable components and front-end libraries for future use.
• Translating designs and wireframes into high-quality code.
• Optimizing components for maximum performance across a vast array of web-capable devices and browsers.