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data engineer

Zones

<div>Description 
 
 
Company Overview:
When it comes to IT solution providers, there are a lot of choices. But when it comes to providers with innovative and differentiating end-to-end service offerings, there&rsquo;s really only one: Zones &ndash; First Choice for IT.TM
Zones is a Global Solution Provider of end-to-end IT solutions with an unmatched supply chain. Positioned to be the IT partner you need, Zones, a Minority Business Enterprise (MBE) in business for over 35 years, specializes in Digital Workplace, Cloud &amp; Data Center, Networking, Security, and Managed/Professional/Staffing services. Operating in more than 120 countries, leveraging a robust portfolio, and utilizing the highest certification levels from key partners, including Microsoft, Apple, Cisco, Lenovo, Adobe, and more, Zones has mastered the science of building digital infrastructures that change the way business does business ensuring whatever they need, they can Consider IT Done. Follow Zones, LLC on Twitter @Zones, and LinkedIn and Facebook. 
Position Overview
The Data Engineer will build and manage the end-to-end data ecosystem across pipelines, transformations, modeling, quality, and monitoring in an Azure-first environment. As the data engineer for the team, this role requires strong technical depth, full ownership, and the ability to support both operational and analytical data needs. The ideal candidate brings hands-on expertise with Azure Data Factory, Azure Databricks, Azure SQL, and integrations with APIs and Azure services, and is comfortable managing data pipelines, ensuring data quality, enabling security, and supporting Power BI datasets to deliver reliable and well-structured data to the business. 
What you&rsquo;ll do as the Data Engineer:
Employees employed in the role of Data Engineer shall be required to apply their independent mind and demonstrate intellectual abilities in their decision-making.
The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. This job description is not intended to be a comprehensive list of the duties and responsibilities of the position, and the duties and responsibilities may change without notice. 
Key Responsibilities<ul><li>
Build and maintain data pipelines using Azure Data Factory for batch and incremental loads. 
</li><li>
Develop transformation workflows in Azure Databricks. 
</li><li>
Design and optimize Azure SQL schemas, tables, queries, indexes, and stored procedures. 
</li><li>
Integrate data from APIs, Logic Apps, and Function Apps, ensuring accuracy and consistency. 
</li><li>
Implement data quality, validation, and monitoring, with alerts and health checks for pipelines. 
</li><li>
Ensure data security and governance, including PII handling, access policies, and Key Vault. 
</li><li>
Collaborate with application and integration engineers on API-driven and event-driven data
 
requirements. 
</li><li>
Support Power BI at a basic level (datasets, model optimization, refresh schedules)</li></ul> 
What you will bring to the team:<ul><li>
Around 5 years of hands-on experience as a Data Engineer with end-to-end ownership of data pipelines and models. 
</li><li>
Strong expertise in:<ul><li>
Azure Data Factory (ADF)</li><li>
Azure Databricks</li><li>
Azure SQL 
</li></ul></li><li>
Solid understanding of ETL/ELT patterns, data modeling, and orchestration. 
</li><li>
Comfortable integrating with APIs, Logic Apps, and Function Apps. 
</li><li>
Working knowledge of Power BI datasets and refresh management. 
</li><li>
Clear communication skills and the ability to work independently and cross-functionally.</li></ul> 
Zones offers a comprehensive Benefits package
At Zones, we are committed to fostering an inclusive and diverse workplace where every team member is valued and supported. We offer life insurance, optional health insurance, EOBI, and a voluntary pension scheme in line with Company policy. Employees also enjoy additional perks such as Complimentary meals, and access to our in-house gym.
We take pride in being an equal opportunity employer and remain dedicated to maintaining a workplace free from discrimination of any kind. If you are passionate about driving innovation in IT, sales, engineering, or operations, Zones provides a dynamic and collaborative environment to help you grow your career.
All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, age, genetic information, or pregnancy.
Job Timings: 8:00 PM to 5:00 AM (Pakistan Time)
#LI-SY1</div>

Data Engineer

Fusemachines

<div>
 
 About Fusemachines
 
 
 
 Fusemachines is a leading AI strategy, talent, and education services provider. Founded by Sameer Maskey Ph.D., Adjunct Associate Professor at Columbia University, Fusemachines has a core mission of democratizing AI. With a presence in 4 countries (Nepal, the United States, Canada, and the Dominican Republic) and more than 450 full-time employees, Fusemachines brings global AI expertise to transform companies worldwide. Founded in 2013, Fusemachines is a global provider of enterprise AI products and services, on a mission to democratize AI. Leveraging proprietary AI Studio and AI Engines, the company helps drive the clients&rsquo; AI Enterprise Transformation, regardless of where they are in their Digital AI journeys. With offices in North America, Asia, and Latin America, Fusemachines provides a suite of enterprise AI offerings and specialty services that allow organizations of any size to implement and scale AI. Fusemachines serves companies in industries such as retail, manufacturing, and government.
 
 
 Fusemachines continues to actively pursue the mission of democratizing AI for the masses by providing high-quality AI education in underserved communities and helping organizations achieve their full potential with AI.
 
 
 Type: Remote, Full-time
 
 
 Job Description:
 
 
 This is a role responsible for designing, building, and maintaining the automated testing frameworks and Python SDKs required for data integration, parity verification, and user accessibility in the Industrial IoT / Smart Buildings domain.
 
 
 We are seeking a Senior Data Engineer with strong Python and PySpark skills, and proven implementation of automated Data Quality frameworks and CI/CD pipelines, delivering Data and Analytics products using Agile methodology. The ideal candidate will possess strong technical, analytical, and interpersonal skills.
 
 
 Qualification / Skill Set Requirement:
 
 
 <ul>
 <li>
 5+ years of hands-on data engineering experience with deep expertise in the Azure ecosystem
 </li>
 <li>
 Expert Python skills (building Libraries/SDKs, Py4J)
 </li>
 <li>
 Strong experience with PySpark and DataFrames
 </li>
 <li>
 Experience with Automated Testing frameworks (PyTest, JUnit) for data pipelines
 </li>
 <li>
 Experience with Data Quality tools (Great Expectations, Deequ)
 </li>
 <li>
 Deep understanding of Apache Spark Internals (Catalyst Optimizer, Logical Plans)
 </li>
 <li>
 Experience with Databricks and Delta Lake optimization
 </li>
 <li>
 Solid understanding of SDLC and Agile methodologies with hands-on experience in Azure DevOps, GitHub, CI/CD, and artifact management
 </li>
 <li>
 Skilled in data modeling, data design, and data warehousing solutions on Azure Databricks
 </li>
 <li>
 Knowledge of data governance, and security best practices within Azure (AD, NSG, encryption, compliance)
 </li>
 <li>
 Certifications preferred: Azure Fundamentals, Azure Data Engineer Associate, Databricks Certified Data Engineer Professional and Azure Solutions Architect Expert (nice to have)
 
 
 </li>
 </ul>
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Implement scalable and efficient data solutions on Spark and Flink
 </li>
 <li>
 Develop a Python SDK that wraps core libraries for use in Jupyter Notebooks by data scientist and analyst.
 </li>
 <li>
 Build automated Parity Test Suite: CI/CD pipeline that runs queries against "Golden Datasets" in both Spark and Flink and asserts equality
 </li>
 <li>
 Implement Data Quality (DQ) Rules configuration: Defining thresholds for "Completeness" and "Validity" that can be enforced
 </li>
 <li>
 Manage and optimize Azure and Databricks resources, for performance, reliability, and cost-efficiency
 </li>
 <li>
 Transform, clean, and prepare data using SQL, Python and Java
 </li>
 <li>
 Monitor and fine-tune workloads and pipelines for optimal performance and reliability
 </li>
 <li>
 Maintain CI/CD pipelines
 </li>
 <li>
 Maintain clear documentation of solutions, configurations, and workflows
 </li>
 <li>
 Actively participate in Agile team activities and continuous improvement initiatives
 </li>
 <li>
 Promote and enforce data engineering best practices, including data governance, security, and data quality
 
 
 </li>
 </ul>
 Fusemachines is an Equal Opportunities Employer, committed to diversity and inclusion. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or any other characteristic protected by applicable federal, state, or local laws.
 
 
 Powered by JazzHR
 
 
 RXObX8Jt99
</div>

Sr. Databricks Azure Data Engineer

ImagineArt

<div><h3 class="jobSectionHeader">Who We Are</h3>
Vyro is redefining the future of digital creativity. We build cutting-edge content creation tools powered by Artificial Intelligence and Machine Learning, helping millions of creators, designers, and storytellers bring their imagination to life &mdash; effortlessly.
With a global user base of over 5 million active creators every month, Vyro&rsquo;s 20+ AI-powered apps are transforming how people design, edit, and express themselves across images, videos, and beyond.
From intuitive AI photo editors to next-gen video creation platforms, our products are designed to make creativity accessible, fast, and limitless.
At Vyro, we&rsquo;re a team of innovators, builders, and dreamers &mdash; known as Vyronauts &mdash; driven by passion, purpose, and the belief that technology should inspire creativity, not complicate it.
If you&rsquo;re excited about shaping the next wave of AI-powered creativity, Vyro is the place to be. 
 
Overview
We are seeking a highly experienced Senior Big Data Developer to design, build, and optimize large-scale data systems and backend infrastructure. The ideal candidate will have strong expertise in BigQuery, distributed data processing, and cloud-based data platforms, and will play a critical role in developing scalable data pipelines and backend services that support analytics, AI, and product systems.
This role requires deep technical expertise in handling large datasets, optimizing data workflows, and building reliable, production-grade data infrastructure.<h2 class="jobSectionHeader">
Responsibilities</h2><ul><li>
Design, build, and maintain scalable data pipelines and backend systems for processing large-scale datasets 
Develop, optimize, and manage complex queries, datasets, and workflows in BigQuery and data warehouse systems</li><li>
Build robust ETL/ELT pipelines to ingest, transform, and process data from multiple sources</li><li>
Develop backend services and data processing systems using languages such as Go, Python.</li><li>
Ensure high performance, scalability, reliability, and cost efficiency of data systems</li><li>
Integrate data systems with cloud services, APIs, and distributed systems</li><li>
Monitor, troubleshoot, and optimize data pipelines and backend infrastructure</li><li>
Collaborate with data scientists, analysts, and engineering teams to support analytics and AI-driven features</li><li>
Design clean, efficient, and maintainable system architecture</li><li>
Mentor junior engineers and contribute to technical leadership and architectural decisions</li></ul>
Requirements<ul><li>
5+ years of experience in Big Data, backend engineering, or data infrastructure roles</li><li>
Strong hands-on experience with BigQuery or similar data warehouse technologies (Snowflake, Redshift, Databricks, etc.)</li><li>
Strong proficiency in at least one programming language such as Go, Python, Node.js, or Java</li><li>
Strong expertise in SQL and query performance optimization</li><li>
Experience building and maintaining ETL/ELT pipelines</li><li>
Experience working with large-scale datasets and distributed systems</li><li>
Experience with cloud platforms such as Google Cloud Platform (preferred), AWS, or Azure</li><li>
Strong understanding of data architecture, scalability, and performance optimization</li><li>
Excellent problem-solving and debugging skills</li></ul>
Preferred Qualifications<ul><li>
Experience with GCP services such as BigQuery, Cloud Storage, Pub/Sub, and Cloud Run</li><li>
Experience with Apache Spark, Kafka, or Airflow</li><li>
Experience supporting analytics, AI, or machine learning systems</li><li>
Experience with real-time and batch data processing systems</li><li>
Experience with microservices architecture</li></ul></div>

Senior Big Data Developer

NorthBay - Pakistan

<div>
 
 Job Title: Data Architect &ndash; AWS
 
 
 
 
 Experience:
 
 12+ Years
 
 
 
 Location:
 
 Hybrid &ndash; Lahore, Karachi, Islamabad
 
 
 
 Employment Type:
 
 Full-Time
 
 
 Position Overview
 
 
 We are seeking a highly experienced Data Architect with 12+ years of experience to define and lead enterprise data architecture strategy on AWS. This role requires deep expertise in large-scale data platform design, governance frameworks, cloud architecture, and stakeholder alignment at leadership level. The ideal candidate will drive long-term data strategy, establish architectural standards, and lead complex enterprise data transformation initiatives.
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Define and own enterprise-wide data architecture strategy and roadmap
 </li>
 <li>
 Architect scalable, secure, high-performance batch and real-time data platforms on AWS
 </li>
 <li>
 Design modern data lake, data warehouse, and lakehouse architectures
 </li>
 <li>
 Define enterprise ETL/ELT architecture using AWS Glue, EMR (Spark), Lambda, and orchestration frameworks
 </li>
 <li>
 Architect data warehousing solutions using Amazon Redshift
 </li>
 <li>
 Establish data modeling standards (Dimensional, Data Vault, Hybrid approaches)
 </li>
 <li>
 Define governance, cataloging, lineage, and access control frameworks using AWS DataZone
 </li>
 <li>
 Lead architecture governance forums and conduct design reviews
 </li>
 <li>
 Establish best practices for scalability, performance tuning, disaster recovery, and cost optimization
 </li>
 <li>
 Define security architecture aligned with enterprise compliance standards
 </li>
 <li>
 Provide technical leadership and mentorship to Data Engineers and Technical Leads
 </li>
 <li>
 Partner with business, analytics, and executive stakeholders to align data architecture with organizational goals
 </li>
 <li>
 Drive innovation and evaluation of emerging data technologies
 
 
 </li>
 </ul>
 
 Required Skills &amp; Experience
 
 
 
 <ul>
 <li>
 12+ years of experience in Data Engineering / Data Architecture
 </li>
 <li>
 Extensive experience designing enterprise-scale data platforms on AWS
 </li>
 <li>
 Strong expertise in:
 </li>
 <ul>
 <li>
 AWS Glue
 </li>
 <li>
 Amazon EMR (Spark)
 </li>
 <li>
 AWS Lambda
 </li>
 <li>
 Apache Airflow (MWAA)
 </li>
 <li>
 Amazon Redshift
 </li>
 <li>
 Amazon S3
 </li>
 <li>
 Amazon DynamoDB
 </li>
 <li>
 AWS DataZone
 </li>
 <li>
 Amazon CloudWatch
 </li>
 </ul>
 <li>
 Strong command of data modeling techniques (Star Schema, Snowflake Schema, Data Vault)
 </li>
 <li>
 Experience designing enterprise data lake, warehouse, and lakehouse ecosystems
 </li>
 <li>
 Strong knowledge of data governance, metadata management, and data security frameworks
 </li>
 <li>
 Advanced SQL and strong Python expertise
 </li>
 <li>
 Experience defining architecture principles, standards, and enterprise roadmaps
 </li>
 <li>
 Strong stakeholder management and cross-functional leadership skills
 </li>
 <li>
 Experience leading large data engineering teams
 </li>
 <li>
 Experience working in Agile / SAFe delivery models
 
 </li>
 </ul>
 Nice to Have
 
 
 <ul>
 <li>
 AWS Certified Solutions Architect &ndash; Professional
 </li>
 <li>
 AWS Data Analytics Specialty Certification
 </li>
 <li>
 Experience with streaming technologies (Kinesis, Kafka)
 </li>
 <li>
 Exposure to multi-cloud or hybrid architectures
 </li>
 <li>
 Experience leading enterprise data transformation programs
 </li>
 </ul>
</div>

Data Architect – AWS

AMT Electric Private Limited

Job Description - Trainee Product Marketing EngineerDepartment: Marketing / Corporate CommunicationsLocation: IslamabadProgram: VOLTEDGE Traineeship Program (2 Years)Role OverviewThe Trainee Product Marketing Engineer role is designed for Engineering graduates who have completed a master&rsquo;s degree in marketing or have experience in marketing and want to build a career in technical product marketing, industry positioning, and product-focused communication - supporting AMT Electric&rsquo;s product portfolio across switchgear, automation, lighting, and industrial electrical solutions.Key Responsibilities<ul><li>Assist in developing product-focused marketing materials, including brochures, catalogs, product sheets, and technical documentation.</li><li>Support marketing campaigns and activities, such as exhibitions, customer engagement initiatives, technical events, product seminars, and webinars.</li><li>Conduct market research, competitor benchmarking, and industry trend analysis to inform marketing and sales strategies.</li><li>Collaborate closely with Sales, Product, and Technical teams to ensure consistent and accurate product messaging.</li><li>Translate technical product features into clear commercial value propositions for marketing and customer-facing materials.</li><li>Maintain and update product data sheets, catalogs, marketing documentation, and internal communication materials.</li><li>Support the preparation of product presentations, training materials, and other customer-facing content.</li><li>Assist sales teams in customer pitching activities and in developing new customer bases for product lines.</li><li>Contribute to lifecycle cost analysis, ROI studies, and technical comparisons to support customer decision-making.</li></ul>Requirements<ul><li>Bachelor&rsquo;s degree in electrical engineering (Required)</li><li>Master&rsquo;s degree in Marketing / MBA (Marketing)</li><li>Strong analytical and communication skills</li><li>Ability to understand technical products and position them commercially</li><li>Interest in product marketing within the electrical or industrial sector</li><li>Fresh graduates encouraged to apply</li></ul>What We Offer<ul><li>A 2-year structured product marketing development pathway</li><li>Hands-on exposure to technical marketing, product positioning &amp; industry branding</li><li>Cross-functional experience with Product, Sales, and Technical teams</li><li>Competitive salary + benefits + EOBI</li><li>Clear progression into Product Marketing, Commercial Strategy, or Product Specialist roles</li></ul>Work Location: In person

Trainee Product Marketing Engineer

Cloudelligent

<div>Cloudelligent is looking for competent candidates for the position of Service Desk Engineer (L1) 
 
Position Title: Service Desk Engineer 
Location: Islamabad 
 
About Cloudelligent 
 
Cloudelligent is an AWS Premier Consulting Partner helping organizations modernize, migrate, and innovate in the cloud. We work at the intersection of cloud, data, and AI to solve real business problems and not just implement technology. With an international footprint, Cloudelligent is customer-obsessed and focuses on Generative AI and Agentic AI to deliver practical, scalable solutions. 
 
Responsibilities<ul><li>
Perform Level 1 diagnosis and resolution of incidents / requests raised by end users.</li><li>
Responsible for supporting the IT Help Desk Services organization to ensure services are delivered to meet customer business needs and expectations, within SLA standards</li><li>
Act as a contact point between Helpdesk Operations and Other external and internal teams.</li><li>
Escalate issues to relevant teams based on SOP &amp; Escalation matrix</li><li>
Provide Incident Response (IR) support when analysis confirms actionable incident</li><li>
Perform incident closure, verifying problem resolution with Users and documenting resolution procedures</li><li>
Monitor and escalate service failure alerts and follow up with relevant teams to fix these with minimal impact.</li><li>
IT Support relating to technical issues involving Microsoft/AWS core business applications and operating systems</li><li>
Troubleshoot software, hardware, and network issues.</li><li>
Guide end-users on how to setup and use new technologies.</li><li>
Perform vendor management for procurement and support (Cloudelligent/Clients).</li><li>
Assist Cloud team with migration and supporting infrastructure on Azure/AWS.</li><li>
Backup and restore the organization's data files and systems.</li><li>
Install, configure, and upgrade PC software and operating systems.</li><li>
Manage inventory and track IT assets used by the organization.</li><li>
Author, edit, and manage IT documentation to improve our clients' IT policy, procedures, and protocols.</li><li>
Manage the helpdesk collaboratively for optimal performance and support by resolving incidents in a timely manner.</li><li>
Prepare and present weekly updates.</li><li>
Participate in IT projects.</li></ul>
Requirements<ul><li>
Bachelor's degree in information technology, computer science or related field.</li><li>
2+ years of experience providing customer-focused technical support.</li><li>
Exceptional verbal, written, and interpersonal communication skills.</li><li>
Hands on experience with service desk ticketing systems, email, online chat, service support process, and SLA.</li><li>
Strong interest in IT support, technical troubleshooting, and cloud technologies.</li><li>
Basic understanding of IT methodologies and service desk operations.</li><li>
Hands-on experience with Windows operating systems and Microsoft Office tools (e.g., Office 365). Knowledge of ticketing tools (e.g., Zendesk, Jira) is a plus.</li><li>
Knowledge of cloud platforms (AWS or Azure) is a plus.</li><li>
Should be able to work in 24/7 environments.</li><li>
Self-driven, ability to work independently or as part of a project team with limited supervision.</li><li>
AWS Cloud Practitioner certification is highly preferred.</li></ul>
LUPIbtTosK</div>

Service Desk Engineer

Location: Onsite, I8 Markaz, Islamabad, PakistanJob Type: Full-TimeWork Hours: Afternoon / EveningJob Title: Fullstack Software DeveloperAbout UsAt BeHope, we&rsquo;re on a mission to make high-quality healthcare supplies more accessible and affordable. Serving customers across Canada and the USA. We are looking for passionate people to join our team and help us make a real impact in the healthcare industry.Minimum qualifications:<ul><li>Bachelor&rsquo;s/Master&rsquo;s degree in CS, Software Engineer, or related domain</li><li>Minimum 1-2 years of experience in Shopify development</li><li>Candidates with a 3.5CGPA or above will be preferred</li><li>Strong proficiency in React.js, React Native, Node.js, Express.js, PostgreSQL, and MongoDB.</li><li>Experience working with data structures or algorithms during coursework/projects, research, internships, or practical experience in school or work (e.g., open-source coding).</li><li>Experience or familiarity with MERN stack or React Native.</li><li>Hands-on experience with Shopify development tools</li></ul>Preferred qualifications:<ul><li>Experience with software development in one or more programming languages (Preferrably Javascript)</li><li>Experience with Rest &amp; GraphQL APIs and third-party libraries</li><li>Familiarity with Git, version control, and deployment processes.</li><li>Ability to learn other coding languages and stacks as needed</li><li>AWS knowledge nice to have but not mandatory</li><li>Experience developing accessible technologies</li></ul>About the job:As a software engineer, you will work on a specific project critical to BeHope&rsquo;s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward. As a key member of a small and versatile team, you design, test, deploy and maintain software solutions.Responsibilities<ul><li>Work on web development projects using technologies such as MERN stack and React Native.</li><li>Design, develop, test, deploy, maintain, and improve software</li><li>Manage project priorities, deadlines, and deliverables</li><li>Create RESTful APIs and integrate third-party services</li><li>Participate in code reviews and provide feedback to other developers</li><li>Stay updated with the latest trends and best practices in web development</li></ul>Job Type: Full-timePay: Rs100,000.00 - Rs180,000.00 per monthApplication Question(s):<ul><li>Which university did you graduate from?</li><li>Are you comfortable to work between 2 P.M - 11 P.M on site. </li><li>What is your graduating CGPA?</li><li>How much experience do you have working with Shopify? </li></ul>Work Location: In person

Fullstack Software Developer

Explore 300+ Data engineer in Islamabad Pakistan this March. Find roles across top companies and apply now to boost your career.