Qualimatrix Technologies
https://qualimatrix.techAbout
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Jobs at Qualimatrix Technologies
What You'll Do:
- Generate and qualify leads through various channels
- Connect with potential clients via calls, emails, and social media
- Assist in client meetings and follow-ups
- Support sales and business growth initiatives
- Maintain and update CRM records
Requirements:
- Excellent communication and interpersonal skills
- Confident, proactive, and eager to learn
- Basic knowledge of sales, marketing, or business development
- Freshers and students are welcome to apply
Gain hands-on industry experience, develop sales skills, and kick-start your career in business development!
PostgreSQL
Amazon Web Services (AWS)Key Responsibilities
- Design, develop, and maintain scalable ETL/ELT pipelines.
- Build and optimize data architectures, data lakes, and warehousing solutions.
- Integrate data from multiple APIs, databases, and third-party systems.
- Ensure data quality, consistency, security, and reliability across systems.
- Develop automated workflows for data ingestion, transformation, and validation.
- Work with structured and unstructured datasets at scale.
- Optimize SQL queries and database performance.
- Collaborate with backend, analytics, and AI teams for data-driven solutions.
- Monitor pipelines and troubleshoot production issues.
- Implement logging, monitoring, and alerting mechanisms for data systems.
- Maintain proper technical documentation and workflow diagrams.
Required Skills & Qualifications
- 2+ years of experience as a Data Engineer or similar role.
- Strong proficiency in SQL and database design.
- Experience with relational and NoSQL databases such as:
- MySQL
- PostgreSQL
- MongoDB
- BigQuery / Redshift / Snowflake
- Hands-on experience with ETL tools and data pipeline development.
- Strong programming skills in at least one language:
- Python
- Node.js
- Java
- Experience with cloud platforms:
- AWS / GCP / Azure
- Familiarity with data orchestration tools:
- Airflow
- Prefect
- Dagster
- Understanding of APIs, webhooks, and real-time data processing.
- Experience with Git and CI/CD workflows.
- Knowledge of Docker and containerized deployments.
- Good understanding of data security and governance practices.
Preferred Qualifications
- Experience with Apache Spark, Kafka, or distributed processing systems.
- Exposure to AI/ML data pipelines.
- Knowledge of analytics and BI tools such as:
- Power BI
- Tableau
- Looker
- Experience working in startup or fast-paced product environments.
- Familiarity with microservices architecture.
What We Offer
- Opportunity to work on scalable and impactful data systems.
- Collaborative and growth-focused work environment.
- Exposure to AI, analytics, and cloud-native technologies.
- Flexible work culture and learning opportunities.
- Competitive salary and performance-based growth.
Key Responsibilities
- Design, configure, and deploy IoT Edge Gateway solutions for industrial environments.
- Integrate PLCs, industrial machines, sensors, and controllers with cloud platforms.
- Develop and maintain communication using industrial protocols such as Modbus RTU/TCP, MQTT, and OPC-UA.
- Configure and troubleshoot industrial networks and edge devices.
- Monitor device telemetry, data acquisition, and gateway performance.
- Implement real-time monitoring and machine data collection solutions.
- Work with cloud platforms such as AWS IoT, Azure IoT, or PTC ThingWorx.
- Troubleshoot connectivity, protocol, and deployment-related issues.
- Collaborate with automation, software, and manufacturing teams for project execution.
- Prepare technical documentation, deployment reports, and system architecture documents.
Mandatory Skills
• Minimum 2 years of hands-on experience in IoT, IIoT, Edge Computing, or Industrial Automation projects.
• Strong knowledge of industrial communication protocols:
Modbus RTU/TCP
MQTT
OPC-UA
• Experience with PLC connectivity and industrial machine integration.
• Good understanding of networking fundamentals:
TCP/IP
Ethernet
Wi-Fi
VPN
• Hands-on experience with Linux-based systems and edge devices.
• Proficiency in Python, Node.js, or C/C++.
• Experience with REST APIs, JSON, and device-to-cloud communication.
• Exposure to AWS IoT, Azure IoT, or similar cloud platforms.
• Strong troubleshooting and debugging skills.
Preferred Skills
- Experience with Raspberry Pi, Industrial PCs, or Edge Controllers.
- Understanding of SCADA, MES, and Industry 4.0 architectures.
- Knowledge of manufacturing systems and smart factory solutions.
- Exposure to Docker and containerized edge applications is an added advantage.
What You'll Work On
- Industrial IoT Deployments
- Smart Factory Solutions
- Machine Monitoring Systems
- Predictive Maintenance Platforms
- Edge-to-Cloud Integrations
- Manufacturing Analytics Systems
- Industry 4.0 Digitalization Projects
PythonKey Responsibilities
- Design and implement AI-powered automation workflows.
- Integrate AI models, APIs, and third-party applications.
- Develop chatbots, AI agents, and automated business processes.
- Automate repetitive tasks using tools like Python, Make, Zapier, n8n, or similar platforms.
- Optimize workflows for performance, scalability, and reliability.
- Monitor, troubleshoot, and improve automation systems.
- Collaborate with cross-functional teams to identify automation opportunities.
Required Skills
- 2+ years of experience in AI Automation or Software Development.
- Strong knowledge of Python and API integrations.
- Experience with automation platforms such as n8n, Make, Zapier, or Power Automate.
- Understanding of LLMs, Generative AI, and AI agent frameworks.
- Experience working with databases, REST APIs, and cloud services.
- Strong problem-solving and analytical skills.
Preferred Skills
- Experience with OpenAI, LangChain, CrewAI, AutoGen, or similar frameworks.
- Knowledge of Docker, Git, and CI/CD pipelines.
- Familiarity with vector databases and RAG architectures.
Why Join Us?
- Work on cutting-edge AI technologies.
- Opportunity to build impactful automation solutions.
- Collaborative and innovative work environment.
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