data scraper

MeshSquare

We are seeking a highly skilled and knowledgeable Data Scraper to join our growing team. In this role, you will be responsible for developing and maintaining Python scripts to extract and parse data from a variety of static and dynamic websites using tools such as Selenium, BeautifulSoup, and Requests. The ideal candidate will have a strong background in web scraping, data automation, and data manipulation.Key Responsibilities:<ul><li>Design, develop, and maintain efficient and reliable web scraping scripts in Python.</li><li>Utilize tools such as Selenium, BeautifulSoup, and Requests to extract data from dynamic and static web sources.</li><li>Analyze and interpret collected data to identify patterns, trends, and actionable insights.</li><li>Optimize scraping scripts for speed, reliability, and scalability.</li><li>Collaborate with team members to integrate scraped data into internal applications, databases, or workflows.</li><li>Conduct routine reviews and updates of scraping scripts to ensure continuous and accurate data extraction.</li><li>Stay up to date with the latest web scraping tools, techniques, and best practices.</li><li>Ensure all scraping activities comply with applicable legal, ethical, and data privacy standards.</li><li>Engage with project stakeholders to define data requirements and deliverables.</li><li>Provide documentation and training materials related to scraping tools and processes.</li></ul>Requirements:<ul><li>Bachelor&rsquo;s degree in Computer Science, Data Science, or a related field.</li><li>2 years experience in a web scraping or data extraction role.</li><li>Proficiency in Python and experience with libraries such as Selenium, BeautifulSoup, and Requests.</li><li>Strong understanding of HTML, CSS, XPath, and web protocols.</li><li>Excellent problem-solving and analytical abilities.</li><li>Self-motivated with the ability to work independently and within a team.</li><li>High attention to detail and commitment to data accuracy.</li><li>Strong communication and interpersonal skills.</li></ul>Preferred Qualifications:<ul><li>Familiarity with version control systems such as Git.</li><li>Exposure to machine learning and natural language processing (NLP) techniques.</li><li>Experience working with large-scale data extraction and processing pipelines.</li><li>Understanding of API interactions and data integration methods.</li></ul>Perks &amp; Benefits:<ul><li>Paid Leaves</li><li>HR Bonus</li><li>Inflation Bonus</li><li>Promotion</li><li>Increments</li><li>Medical Coverage</li><li>Leave Encashment</li><li>Contributing Saving Plan (CSP)</li><li>Saturday and Sunday Off</li><li>Transportation allowances only for female staff</li><li>Complementary Food (Dinner) &amp; Tea/Green Tea</li></ul>Office Timing: 5:30 PM to 2:30 AMJob Type: Full-timePay: Rs50,000.00 - Rs60,000.00 per monthJob Type: Full-timeJob Type: Full-timeWork Location: In person

Data Scraper

Alpha Beta Partners Ltd (UK based company)

Introduction to CompanyEstablished in 1989, Metropolitan Warehouse &amp; Delivery (MWD) is a leading provider of premier White Glove furniture delivery services in the USA. With operations in 44 cities across the USA and a dedicated team of over 1,200 professionals, MWD specializes in ECommerce furniture delivery, warehousing, and comprehensive white-glove delivery solutions.Job Specifications<ul><li>Time: 5:00 PM &ndash; 2:00</li><li>Location: Plaza 145, Civic Center, Phase IV, Bharia Town, Rawalpindi</li><li>Job Type: Onsite - Full Time</li><li>Education: Bachelor&rsquo;s,CS, IT, DE</li><li>Experience: 1-3 Years + in Data Engineering</li><li>Skill Set: SQL, Azure, ELT, Rest API, Python, C Language</li></ul>Job SummaryWe are looking for a Data Engineer with 1 to 3 years of experience to help build, manage, and maintain data pipelines and data lake solutions. The role involves working with SQL Server, Azure or similar cloud platforms, and integrating data from multiple sources such as databases and APIs. The ideal candidate should have strong SQL skills, a basic understanding of cloud data platforms, and a willingness to learn and grow in data engineeringKey Responsibilities<ul><li>Assist in setting up and maintaining Data Lakes on Azure or other cloud/on-prem servers</li><li>Develop and support data pipelines to sync data between SQL Server databases</li><li>Ingest data from multiple sources including:</li><li>SQL databases</li><li>APIs</li><li>Flat files (CSV, JSON, etc.)</li><li>Write, modify, and optimize SQL queries, views, and stored procedures</li><li>Perform basic query optimization to improve performance</li><li>Monitor data pipelines and resolve failures or data issues</li><li>Ensure data accuracy, consistency, and completeness</li><li>Work closely with developers, analysts, and business teams to understand data requirements</li><li>Document data flows, pipelines, and table structures</li></ul>Required Skills &amp; Qualifications<ul><li>1&ndash;3 years of experience in Data Engineering, Data Integration, or related roles</li><li>Strong knowledge of SQL Server and SQL querying</li><li>Basic experience with Azure Data Lake, Azure Data Factory, or similar tools</li><li>Understanding of ETL/ELT concepts</li><li>Experience syncing data between databases</li><li>Familiarity with REST APIs and data ingestion</li><li>Basic scripting knowledge in Python or C#</li><li>Understanding of cloud or server-based environments</li></ul>Additional Skills (Good to Have)<ul><li>Basic knowledge of data modeling (tables, relationships, fact/dimension concepts)</li><li>Experience with file formats like CSV, JSON, or Parquet</li><li>Familiarity with Git or version control systems</li><li>Awareness of data security and access control</li><li>Exposure to scheduling and automation tools</li><li>Understanding of logging and monitoring concepts</li></ul>Soft Skills<ul><li>Good problem-solving and analytical skills</li><li>Ability to learn new tools and technologies</li><li>Clear communication and documentation skills</li><li>Ability to work independently as well as in a team</li><li>Attention to detail and data accuracy</li></ul>Employee Benifits<ul><li>Market Competetive Salaries</li><li>Promotions &amp; Yearly increments (Based on Performance)</li><li>EOBI &amp; Gratuity</li><li>2 Yearly Bonuses</li><li>Medical Insurance (Employee, Spouce &amp; Children)</li><li>Life Insurance</li><li>Employee Health Care Program (Gym, Kitchen/Mess Services, Inhouse doctor)</li><li>Employee Social Activity Program (Tours, Office Celebrations, Team collaboration)</li></ul>Job Types: Full-time, ContractWork Location: In person

Data Engineer .

WEBDOC Medical Complex Kahuta

Data Analyst Job Description:We are seeking a skilled Data Analyst &amp; Automation Specialist with strong foundations in Python, SQL, and data visualization tools. The ideal candidate will have hands-on experience with data manipulation, reporting automation, and a working understanding of data warehousing principles.Key Responsibilities:<ul><li>Perform data extraction, transformation, and analysis using Python (Pandas) and SQL (PostgreSQL).</li><li>Develop and maintain reports and dashboards using Power BI, with awareness of the Star Schema model.</li><li>Automate routine data tasks using Windows Task Scheduler and batch scripts.</li><li>Collaborate with cross-functional teams to deliver accurate and timely data insights.</li><li>Optimize and troubleshoot SQL queries and database performance as needed.</li></ul>Required Skills:<ul><li>Proficient in Python (especially Pandas) and data structures.</li><li>Strong SQL skills (PostgreSQL), ideally at a database administrator or advanced analyst level.</li><li>Experience with Power BI and understanding of Star Schema design.</li><li>Familiarity with automation tools like Windows Task Scheduler and writing batch files.</li><li>Good problem-solving and communication skills.</li></ul>Job Location: Bahria Town Phase 7, RawalpindiExperience Required: Minimum 2 YearsEmployment Type: Full-TimeJob Type: Full-timeApplication Question(s):<ul><li>Will you be able to reliably commute to Bahria Town Phase 7, Rawalpindi for this job?</li><li>How many years of experience do you have with Python?</li><li>How many years of experience do you have with PostgreSQL?</li><li>How many years of experience do you have with Power BI?</li></ul>Work Location: In person

Data Analyst

Introduction to Company Established in 1989, Metropolitan Warehouse &amp; Delivery (MWD) is a leading provider of premier White Glove furniture delivery services in the USA. With operations in more than 40 cities and a dedicated team of over 1,200 professionals, MWD specializes in eCommerce furniture delivery, warehousing, and comprehensive white-glove logistics solutions. The company manages thousands of deliveries daily through its nationwide hub network and leverages modern data infrastructure to support operational efficiency and business intelligence.Job Specifications<ul><li>Time: 5:00 PM &ndash; 2:00 AM (Night Shift)</li><li>Location: Plaza 145, Civic Center, Phase IV, Bahria Town, Rawalpindi</li><li>Job Type: Onsite &ndash; Full Time</li><li>Education: Bachelor&rsquo;s in Computer Science, Information Systems, Data Science, or related field</li><li>Experience: 2 &ndash; 5 Years in Business Intelligence / Data Engineering</li><li>Skill Set: PostgreSQL, Power BI, Python, dbt, Grafana, SQL, Linux Administration</li></ul>Job Description<ul><li>Design and maintain Bronze, Silver, and Gold layers of a Medallion Architecture using PostgreSQL.</li><li>Build and manage dbt Core transformation models with proper testing, documentation, and incremental strategies.</li><li>Optimize PostgreSQL schemas, indexes, and materialized views for analytical workloads.</li><li>Develop automated Python pipelines to ingest data from databases, APIs, Excel/CSV files, and email sources.</li><li>Use Python libraries such as pandas, SQLAlchemy, psycopg2, watchdog, and imaplib for ingestion and processing.</li><li>Maintain and enhance Power BI semantic models including DAX calculations, relationships, RLS, and drill-through reporting.</li><li>Build and manage Grafana dashboards to monitor operational metrics such as delivery SLAs, hub performance, and logistics KPIs.</li><li>Administer Ubuntu Linux servers including Docker Compose deployments, service monitoring, and scheduling tasks with cron.</li><li>Collaborate with Operations and Finance teams to translate business requirements into scalable data solutions.</li><li>Maintain proper documentation for pipelines, dbt models, and data sources.</li></ul>Preferred Certifications<ul><li>Microsoft Certified: Power BI Data Analyst Associate (PL-300)</li><li>dbt Certified Developer</li><li>PostgreSQL Professional Certification (PGCP)</li><li>Linux Foundation Certified System Administrator (LFCS)</li><li>Microsoft Azure Data Fundamentals (DP-900)</li></ul>Employee Benefits<ul><li>Market Competitive Salaries</li><li>Promotions &amp; Yearly Increments (Based on Performance)</li><li>EOBI &amp; Gratuity</li><li>Two Annual Bonuses</li><li>Medical Insurance (Employee, Spouse &amp; Children)</li><li>Life Insurance</li><li>Employee Health Care Program (Gym, Kitchen/Mess Services, In-House Doctor)</li><li>Employee Social Activity Program (Tours, Office Celebrations, Team Collaboration)</li></ul>Job Type: Full-timeEducation:<ul><li>Bachelor's (Required)</li></ul>License/Certification:<ul><li>Power BI experience or certification (Preferred)</li></ul>Location:<ul><li>Rawalpindi (Preferred)</li></ul>Work Location: In person

Senior BI Developer

We are seeking a detail-oriented Data Verifier to review, validate, and ensure the accuracy of data received from internal teams, and external sources. The role requires strong attention to detail, consistency, and the ability to work with confidential information while meeting deadlines.Key Responsibilities<ul><li>Verify and validate data for accuracy, completeness, and consistency</li><li>Cross-check information with source documents, systems, and databases</li><li>Identify errors, discrepancies, or missing information</li><li>Update, correct, and maintain records required</li><li>Coordinate with relevant departments to resolve data-related issues</li><li>Maintain proper documentation</li><li>Ensure compliance with company policies and data confidentiality standards</li><li>Meet daily and monthly verification targets with high accuracy</li></ul>&middot; Good communication and coordination skills&middot; Ability to work under deadlines and handle repetitive tasksPerks &amp; Benefits:Paid LeavesHR BonusInflation BonusPromotionIncrementsMedical CoverageLeave EncashmentContributing Saving Plan (CSP)Saturday and Sunday OffComplementary Food (Dinner) &amp; Tea/Green Tea (Two times) Office Timings: 5:30 PM - 2:30 AMJob Type: Full-timeJob Type: Full-timeWork Location: In person

Data Verifier

Umair Traders

About the RoleWe are a growing Sales &amp; Distribution company seeking a detail-oriented and disciplined Data Entry / KPO Officer to manage and optimize our sales operations data. The ideal candidate must have hands-on experience with Salesflo and a strong understanding of distribution workflows, reporting, and sales tracking.This role is critical in ensuring accurate reporting, smooth coordination between sales teams and management, and maintaining clean, reliable data for decision-making.Key Responsibilities<ul><li>Daily sales data entry and validation in Salesflo</li><li>Managing distributor and outlet data records</li><li>Generating sales reports (daily, weekly, monthly)</li><li>Tracking primary &amp; secondary sales performance</li><li>Monitoring sales team KPIs and attendance records</li><li>Reconciling sales data with inventory and stock movement</li><li>Coordinating with sales representatives and supervisors</li><li>Maintaining accurate documentation and database records</li></ul>Required Skills &amp; Competencies<ul><li>Hands-on experience with Salesflo (compulsory)</li><li>Strong MS Excel skills (Pivot Tables, VLOOKUP/XLOOKUP preferred)</li><li>Understanding of Sales &amp; Distribution operations</li><li>High attention to detail and accuracy</li><li>Good analytical and reporting skills</li><li>Ability to meet deadlines and manage large datasets</li><li>Basic communication skills for internal coordination</li></ul>Salary &amp; Benefits<ul><li>Market-competitive salary (based on experience)</li><li>Performance-based incentives</li><li>Career growth in Sales Operations/</li><li>Professional working environment</li><li>Long-term growth opportunity within the organization</li></ul>Why Join Us?If you understand distribution systems, sales reporting, and Salesflo operations, this is your opportunity to grow into senior roles such as Sales Operations Executive, or Distribution Manager.We value accuracy, ownership, and operational excellence.Job Type: Full-timePay: Rs30,000.00 - Rs35,000.00 per monthAbility to commute/relocate:<ul><li>Rawalpindi: Reliably commute or planning to relocate before starting work (Preferred)</li></ul>Education:<ul><li>Bachelor's (Preferred)</li></ul>Work Location: In person

Data Entry / KPO Officer (Sales & Distribution)

Value Engineering

Role OverviewReporting to AI Lead / Solution Architect, this is a senior technical leadership role responsible for:&middot; Designing and deploying state-of-the-art LLMs and multi-modal AI models.&middot; Implementing agentic AI systems with RAG, self-RAG, and memory-optimized architectures.&middot; Leading cloud-based GPU LLM training pipelines, including data labeling, preprocessing, model training, and post-processing.&middot; Extending AI models into front-end applications and back-end pipelines.&middot; Managing staging, development, and production environments with SSH deployment and editing.Driving complex problem-solving, critical thinking, and innovative AI solutionsKey Responsibilities1. LLM Cloud Training &amp; Pipelines (Mandatory)&middot; Design and deploy LLM training pipelines on cloud GPU infrastructure.&middot; Manage data labeling, preprocessing, and post-processing for training datasets.&middot; Optimize model training, memory usage, and inference efficiency.&middot; Implement RAG-based pipelines, agentic RAG, and self-RAG for knowledge augmentation.2. Deep Learning &amp; Model Development&middot; Research, design, and implement Transformers, Vision Transformers, Diffusion Models.&middot; Optimize SAM models for tabular and image data, including preprocessing and post-processing.&middot; Implement multi-modal AI pipelines (text, image, video).&middot; Develop agentic AI models with adaptive memory and reasoning.3. Agentic AI &amp; Orchestration&middot; Design agent frameworks with orchestration, inter-agent communication, and protocol management.&middot; Integrate LangChain, LangGraph, or custom agent pipelines.&middot; Ensure AI agents are robust, scalable, and production-ready.4. Machine Learning for Real-World Data&middot; Implement ML models for tabular, image, and multi-modal data.&middot; Preprocess, normalize, and feature-engineer datasets for SAM and other model types.&middot; Translate research models into production pipelines with RAG augmentation.5. Front-End &amp; Back-End AI Integration&middot; Extend AI models into front-end applications (interactive AI features).&middot; Integrate AI models into back-end services for low-latency inference.&middot; Ensure seamless integration between AI models and application architecture.6. Production AI Infrastructure &amp; Deployment&middot; Deploy AI models on MCP / GPU servers, distributed clusters, or cloud infrastructure.&middot; Manage staging, dev, and production environments, including SSH deployment, editing, and version control.&middot; Implement monitoring and observability using Prometheus, Grafana, and custom dashboards.&middot; Maintain CI/CD for AI models, training pipelines, and data workflows, including Git/GitHub workflow management.7. Research to Production Translation&middot; Bring experimental AI models into production-grade systems.&middot; Validate model performance, reliability, and safety.&middot; Implement reproducibility, versioning, and automated retraining pipelines.8. Mentorship &amp; Leadership&middot; Mentor junior AI engineers and researchers.&middot; Establish best practices for AI experimentation, deployment, and RAG/agentic architectures.&middot; Contribute to AI roadmap and enterprise AI strategy.Required Experience&middot; 5+ years AI / Deep Learning / Research &amp; Production experience.&middot; Mandatory: Hands-on experience in LLM training pipelines, including cloud GPU infrastructure, data labeling, preprocessing, training, and post-processing.&middot; Deep knowledge of Neural Networks, Transformers, LLMs, Vision Transformers, Diffusion Models, Agentic AI, RAG/self-RAG pipelines.&middot; Hands-on experience with SAM models, tabular data ML, and preprocessing pipelines.&middot; Experience managing staging, dev, and production environments with SSH deployment, editing, and Git/GitHub workflow.&middot; Strong Computer Vision and Image Processing skills.&middot; Experience with agent orchestration, LangChain, LangGraph, and protocol optimization.&middot; Proven problem-solving, critical thinking, and innovative AI solution delivery.&middot; Experience integrating AI into front-end and back-end systems.Preferred Experience&middot; Experience with generative AI, diffusion models, multi-modal agents.&middot; Optimizing LLM memory, inference, and fine-tuning at scale.&middot; Experience in production RAG pipelines and knowledge-augmented AI systems.Application Question(s):<ul><li>Are you available to work from 2:00 PM &ndash; 11:00 PM shift Monday to Friday with alternate Saturday?</li></ul><ul><li>Are you comfortable working onsite from Bahria Phase 4, Rawalpindi?</li></ul><ul><li>How many years of experience do you have as a AI Engineer??</li></ul>Work Location: In person

AI Engineer

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