Data Analyst

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.

Key Responsibilities

• Frontend Development: Designing and building responsive, interactive user interfaces using React.js, HTML5, CSS3, and modern JavaScript (ES6+).
• Backend Development: Developing robust, scalable server-side applications and microservices using Java and the Spring Boot framework.
• API Integration: Creating and consuming RESTful APIs to ensure seamless communication between the React frontend and the Java backend.
• Database Management: Designing and optimizing database schemas and queries using SQL (e.g., MySQL, PostgreSQL, Oracle) or NoSQL (e.g., MongoDB) databases.
• State Management: Managing application state in React using tools like Redux, Hooks, or Context API.
• Testing & Quality Assurance: Writing unit and integration tests using frameworks such as JUnit for backend and Jest or React Testing Library for frontend.
• DevOps & Deployment: Collaborating on CI/CD pipelines and using containerization tools like Docker and Kubernetes for application deployment. 
• Indeed
•  +14

Required Skills & Qualifications

• Core Technical Skills:
• Deep proficiency in Java (8+) and the Spring ecosystem (Spring Boot, Spring Security, Spring Data JPA).
• Expertise in React.js workflows, component-based architecture, and hooks.
• Strong understanding of Microservices architecture and cloud platforms (AWS, Azure, or GCP).
• Experience & Education:
• Typically requires a Bachelor's degree in Computer Science or a related field.
• Proven experience (often 1–5+ years depending on seniority) in full-stack development.
• Tools: Version control systems like Git, build tools like Maven or Gradle, and Agile project management tools like Jira. 
• Indeed
•  +13

Typical Salary Ranges (India)

• Freshers: ₹3.8 Lakh to ₹12 Lakh per year.
• Experienced (5+ years): ₹18 Lakh to ₹30 Lakh+ per year.
• Average (General): Approximately ₹29 Lakh per year for high-demand specialized roles. 

We are Looking for "IoT Migration Architect (Azure to AWS)"- Contract to Hire role.

"IoT Migration Architect (Azure to AWS)" – Role 1

Salary between 28LPA -33 LPA -Fixed

We have Other Positions as well in IOT.

1. IoT Solutions Engineer - Role 2
2. IoT Architect – 8+ Yrs - Role -3

Designed end to end IoT Architecture, Define Strategy, Integrate Hardware, /Software /Cloud Components.

Skills -Cloud Platform, AWS IoT, Azure IoT, Networking Protocols,

Experience in Large Scale IoT Deployment.

Contract to Hire role.

Location – Pune/Hyderabad/Chennai/ Bangalore

Work Mode -2-3 days Hybrid from Office in week.

Duration -Long Term, With Potential for full time conversion based on Performance and Business needs.

How much notice period we can consider.

15-25 Days( Not more than that)

Client Company – One of Leading Technology Consulting

Payroll Company – One of Leading IT Services & Staffing Company ( This company has a presence in India, UK, Europe , Australia , New Zealand, US, Canada, Singapore, Indonesia, and Middle east.

Highlights of this role.

•            It’s a long term role.

•            High Possibility of conversion within 6 Months or After 6 months ( if you perform well).

•            Interview -Total 2 rounds of Interview ( Both Virtual), but one face to face meeting is mandatory @ any location - Pune/Hyderabad /Bangalore /Chennai.

Point to be remember.

1.           You should have valid experience cum relieving letters of your all past employer.

2.           Must have available to join within 15 days’ time.

3.           Must be ready to work 2-3 days from Client Office in a week.

4.           Must have PF service history of last 4 years in Continuation

What we offer During the role.

• Competitive Salary
• Flexible working hours and hybrid work mode.
• Potential for full time conversion, Including Comprehensive Benefits, PF, Gratuity, Paid leave, Paid Holiday (as per client), Health Insurance and form 16.

How to Apply.

1. Pls fill the given below summary sheet.
2. Pls provide UAN Service history
3. Latest Photo.

IoT Migration Architect (Azure to AWS) - Job Description

Job Title: IoT Migration Architect (Azure to AWS)

Experience Range: 10+ Years

Role Summary

The IoT Migration Architect is a senior-level technical expert responsible for providing architecture leadership, design, and hands-on execution for migrating complex Internet of Things (IoT) applications and platforms from Microsoft Azure to Amazon Web Services (AWS). This role requires deep expertise in both Azure IoT and the entire AWS IoT ecosystem, ensuring a seamless, secure, scalable, and cost-optimized transition with minimal business disruption.

Required Technical Skills & Qualifications

10+ years of progressive experience in IT architecture, with a minimum of 4+ years focused on IoT Solution Architecture and Cloud Migrations.

Deep, hands-on expertise in the AWS IoT ecosystem, including design, implementation, and operations (AWS IoT Core, Greengrass, Device Management, etc.).

Strong, hands-on experience with Azure IoT services, specifically Azure IoT Hub, IoT Edge, and related data/compute services (e.g., Azure Stream Analytics, Azure Functions).

Proven experience in cloud-to-cloud migration projects, specifically moving enterprise-grade applications and data, with a focus on the unique challenges of IoT device and data plane migration.

Proficiency with IoT protocols such as MQTT, AMQP, HTTPS, and securing device communication (X.509).

Expertise in Cloud-Native Architecture principles, microservices, containerization (Docker/Kubernetes/EKS), and Serverless technologies (AWS Lambda).

Solid experience with CI/CD pipelines and DevOps practices in a cloud environment (e.g., Jenkins, AWS Code Pipeline, GitHub Actions).

Strong knowledge of database technologies, both relational (e.g., RDS) and NoSQL (e.g., DynamoDB).

Certifications Preferred: AWS Certified Solutions Architect (Professional level highly desired), or other relevant AWS/Azure certifications.

Your full Name ( Full Name means full name) –

Contact NO –

Alternate Contact No-

Email ID –

Alternate Email ID-

Total Experience –

Experience in IoT –

Experience in AWS IoT-

Experience in Azure IoT –

Experience in Kubernetes –

Experience in Docker –

Experience in EKS-

Do you have valid passport –

Current CTC –

Expected CTC –

What is your notice period in your current Company-

Are you currently working or not-

If not working then when you have left your last company –

Current location –

Preferred Location –

It’s a Contract to Hire role, Are you ok with that-

Highest Qualification –

Current Employer (Payroll Company Name)

Previous Employer (Payroll Company Name)-

2nd Previous Employer (Payroll Company Name) –

3rd Previous Employer (Payroll Company Name)-

Are you holding any Offer –

Are you Expecting any offer -

Are you open to consider Contract to Hire role , It’s a C2H Role-

PF Deduction is happening in Current Company –

PF Deduction happened in 2nd last Employer-

PF Deduction happened in 3 last Employer –

Latest Photo –

UAN Service History -

Shantpriya Chandra

Director & Head of Recruitment.

Harel Consulting India Pvt Ltd

https://www.linkedin.com/in/shantpriya/

www.harel-consulting.com

Role Overview

1. As a Pre-Sales Engineer, you will be responsible for designing and drafting systems for Technical Proposals brought in by the sales team, ensuring that quotes are technically correct before submitting to clients.
2. Preparation of proposal based on the RFP / RFQ docs and Understand the CAD drawing.
3. Generate BOQ, Compliance Statement, system descriptions, schematic drawings, material / technical submittal, system programming such as Crestron, Extron, Bose and other OEM products etc.
4. Provide sales and technical staff with technical support on both a pre- and post-sales basis
5. Communicate and interact with internal employees, clients and colleagues in a professional and timely manner.
6. Conduct or attend a Site visit and Site surveys when needed.
7. Develop and maintain knowledge of current and new technologies that company offers.