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NextGENi - A DotZero Company

<div>
 
 Job Details
 
 
 
 <ul>
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 Role: Data Engineer
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 Location: Karachi (Hybrid 2+3)
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 Experience: 4+ Years
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 Type: Full Time
 
 
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 About NextGENi
 
 
 
 NextGENi (Next Generation Innovations) is transforming how regional startups build their technology teams. We help ambitious founders build and manage their offshore technology teams at twice the speed and fraction of the cost. We have built tech teams for some of the leading startups in the region including Careem, Dubizzle, and Kavak. Our mission is to create exceptional tech teams while maintaining an unparalleled culture and the highest regard for professional principles.
 
 
 
 About The Role
 
 
 
 We are looking for a Data Engineer to join our fast-paced and data-driven engineering team. In this role, the applicant will take ownership of data engineering solutions. As a client-facing professional, the selected applicant will be responsible for designing and implementing ETL pipelines, building and managing Data Lakes and Data Warehouses, and leveraging AWS services to process and store large volumes of data efficiently.
 
 
 
 Key Responsibilities
 
 
 
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 Lead the design and implementation of ETL/ELT processes for data integration and transformation.
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 Build and manage Data Lakes and Data Warehouses to support analytics and reporting.
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 Work extensively with AWS services including Lambda, Glue, Redshift, DMS and QuickSight.
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 Collaborate closely with clients and stakeholders to understand their data needs and provide strategic solutions.
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 Ensure data quality, integrity, and scalability across various data systems.
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 Optimize and maintain data pipelines and processes to meet performance standards.
 
 
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 Key Requirements
 
 
 
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 Extensive experience with ETL/ELT processes and data integration.
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 Experience building and managing Data Lakes and Data Warehouses.
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 Strong hands-on experience with Python, PySpark, and SQL
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 Proficiency in AWS services such as Lambda, Glue, Redshift, DMS and QuickSight.
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 Strong communication skills with the ability to explain technical solutions.
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 Ability to work independently and manage complex data engineering projects.
 
 
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 Nice To Have
 
 
 
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 Experience with dbt for data modelling/transformations
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 Experience with reporting tools like Metabase or similar BI platforms
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 Exposure to CI/CD or Infrastructure as Code.
 
 
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 </ul>
 
 Instructions to Apply
 
 
 
 To Apply, send your resumes to talent@nextgeni.com with subject mentioning &ldquo;NGI-DE-002&rsquo;&rsquo;
 
 
 
 Download a blank applicant form
 
 
 
 Download Form
 
 
 
 Disclaimer
 
 
 
 Kindly refrain from renaming this file or altering the form&rsquo;s format, as it may result in rejection by the ATS. member at NextGENi, and you have cleared the assignment.
</div>

Data Engineer

CareCloud

Key Responsibilities:<ul><li>Develop, maintain, and optimize ETL/ELT data pipelines.</li><li>Extract, transform, and load healthcare data from multiple sources (EHR/EMR systems, billing systems, APIs, etc.).</li><li>Design and maintain databases, data warehouses, and data models.</li><li>Ensure data quality, integrity, and validation across systems.</li><li>Write efficient SQL queries for data extraction and reporting.</li><li>Collaborate with BI developers, analysts, and software engineers to deliver reliable datasets.</li><li>Support data integration with third-party healthcare systems.</li><li>Monitor and troubleshoot data pipeline issues.</li><li>Ensure compliance with healthcare regulations (e.g., HIPAA) and data security standards.</li><li>Maintain proper documentation of data processes and workflows.</li></ul>Required Skills &amp; Qualifications:<ul><li>Bachelor&rsquo;s degree in Computer Science, Data Engineering, Software Engineering, or related field.</li><li>1&ndash;2 years of hands-on experience in data engineering or data development.</li><li>Strong SQL skills and experience with relational databases (MySQL, PostgreSQL, SQL Server, etc.).</li><li>Basic understanding of data warehousing concepts and data modeling.</li><li>Experience with ETL tools or scripting (Python, Airflow, SSIS, or similar).</li><li>Familiarity with cloud platforms (AWS, Azure, or GCP) is a plus.</li><li>Understanding of APIs and data integration techniques.</li><li>Strong analytical and problem-solving skills.</li><li>Good communication and teamwork abilities.</li></ul>Job Type: Full-timePay: Rs150,000.00 - Rs200,000.00 per monthWork Location: In person

ibex. Pakistan

<div>
 
 
 Role Overview
 
 
 
 We are seeking an experienced
 
 Manager &ndash; Data Engineering
 
 to lead the design, automation, governance, and optimization of enterprise data pipelines and modern data warehouse solutions. The ideal candidate will have strong expertise in ETL modernization, Snowflake environments, data quality controls, vendor integrations, and stakeholder collaboration to support executive reporting and business intelligence.
 
 
 This role requires both
 
 hands-on technical capability
 
 and
 
 team leadership
 
 , ensuring scalable, reliable, and governed data ecosystems.
 
 
 
 Key Responsibilities
 
 
 
 
 1. Data Architecture &amp; ETL Modernization
 
 
 <ul>
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 Lead the transition from manual or legacy data processes to automated, scalable ETL frameworks.
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 Design, build, and maintain robust ingestion pipelines using tools such as Informatica.
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 Migrate and centralize transformation workflows to improve processing efficiency, scalability, and maintainability.
 </li>
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 Architect structured staging and transformation layers within Snowflake data warehouses.
 </li>
 </ul>
 
 
 2. Data Ingestion &amp; Integration
 
 
 <ul>
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 Manage end-to-end ingestion of financial and operational datasets from internal systems and vendor-hosted SFTP environments.
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 Develop automated ingestion frameworks with post-load validation and structured data quality checks.
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 Ensure reliable, secure, and governed data integration across multiple sources.
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 </ul>
 
 
 3. Data Quality, Governance &amp; Monitoring
 
 
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 Implement data validation frameworks, KPI monitoring, and anomaly detection mechanisms.
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 Reduce vendor-related data incidents through proactive monitoring and root cause analysis.
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 Establish best practices for data governance, documentation, and compliance.
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 Maintain data integrity before downstream reporting and dashboard consumption.
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 </ul>
 
 
 4. Business Intelligence &amp; Stakeholder Collaboration
 
 
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 Partner with business stakeholders to ensure accurate executive reporting and evolving KPI alignment.
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 Support and enhance Tableau dashboards by refining calculations, updating data models, and maintaining reporting logic.
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 Act as the primary liaison between business users, vendors, and technical teams to resolve discrepancies and production issues.
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 </ul>
 
 
 5. Leadership &amp; Team Development
 
 
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 Mentor and guide data engineers on ETL best practices, automation, and data quality standards.
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 Drive continuous improvement initiatives across data engineering processes.
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 Promote scalable design patterns and performance optimization strategies.
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 </ul>
 
 
 Required Skills &amp; Experience
 
 
 <ul>
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 5+ years of experience in Data Engineering or related roles.
 </li>
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 Proven experience with:
 </li>
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 Snowflake
 
 data warehouse environments
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 Informatica
 
 (or similar ETL tools)
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 SQL (advanced querying &amp; performance optimization)
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 Data modelling &amp; data warehousing concepts
 </li>
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 SFTP-based data integrations
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 Experience migrating legacy transformation tools (e.g., Alteryx) to centralized ETL platforms.
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 Strong understanding of data governance, validation frameworks, and quality controls.
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 Experience supporting BI tools such as Tableau.
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 Proficiency in Python for data processing and automation.
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 Experience working with ERP and CRM data sources is preferred.
 </li>
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 Exposure to Databricks or modern data lake architectures is a plus.
 </li>
 </ul>
 
 
 Education
 
 
 <ul>
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 Bachelor&rsquo;s degree in Computer Science, Data Science, or related field (Master&rsquo;s preferred).
 </li>
 </ul>
 
 
</div>

10Pearls

<div>Company Overview
10Pearls is an award-winning end-to-end digital innovation company that helps businesses imagine and build the future. We are proud to announce that 10Pearls was named the winner of the Best Tech Work Culture Timmy Award in Washington, D.C. by Tech in Motion, recognized on the Inc. 5000 Fastest-Growing Companies List, and was ranked the #1 Most Diverse Midsize Company in Greater Washington. We partner with businesses to help them transform, scale, and accelerate by adopting digital and exponential technologies. Our work has ranged from creating highly usable, secure digital experiences, mobile and software products, to helping businesses modernize through cloud adoption and development and the digitalization of their business processes. Our clientele is highly diverse, including Global 1000 enterprises, mid-market businesses, and even high-growth start-ups. But those are just facts. What makes us unique is that we have a true heart and soul. We have a strong focus on a double bottom line and actively support and engage with the communities where we live and work to make the world a better place. In a nutshell, we believe in doing well while doing good and know how to balance the two. 
 
Role 
 
We are seeking a skilled Data Engineer with strong expertise in Databricks and Snowflake to design, build, and optimize scalable data pipelines. You will work on high‑performance data processing workflows that support our platform, with a focus on real‑time analytics, large‑scale data transformations, and efficient data modeling. If you have experience with distributed data systems, cloud‑based data platforms, and modern data engineering best practices, we&rsquo;d love to hear from you. 
 
Responsibilities<ul><li>
Build and optimize data pipelines that ingest, validate, and transform core banking data (accounts, transactions, balances, parties, fees) from multiple source systems into our Databricks/Delta Lake lakehouse.</li><li>
Scale and evolve a multi‑tenant architecture, ensuring tenant isolation, efficient partitioning, and consistent schema evolution as we onboard new banks.</li><li>
Own CI/CD for the data platform, including GitHub Actions workflows, SQLMesh plan/apply lifecycle, and Databricks deployment automation.</li><li>
Develop and integrate ML models, including propensity scoring, churn prediction, segmentation, and customer scoring models that feed directly into analytics and decisioning layers.</li><li>
Ensure pipeline reliability through monitoring, alerting, and robust data validation across tenants and environments.</li><li>
Design and maintain 300+ SQL and Python data models across Bronze, Silver, and Gold layers using SQLMesh, with an emphasis on clean abstractions, reusability, and correctness.</li><li>
Own the metrics layer, defining and validating gold‑standard business metrics (revenue, attrition, household analytics, segmentation, balance projections) used by dashboards and APIs.</li><li>
Champion data quality by writing SQLMesh audits, unit tests, and enforcing schema contracts to ensure downstream consumers can trust the data.</li><li>
Collaborate with product and banking domain experts to translate business requirements into well‑modeled, documented, and performant data assets.</li><li>
Drive documentation and discoverability, ensuring data models are self‑describing and easily understood by analysts and product teams.</li></ul><h2 class="jobSectionHeader">
Requirement</h2><ul><li>
8+ years of software engineering experience, with deep expertise in data engineering and strong exposure to analytics engineering or data modeling.</li><li>
Production experience with SQLMesh or dbt, including building, testing, and deploying transformation projects (SQLMesh strongly preferred).</li><li>
Hands‑on experience with Databricks or Snowflake, operating pipelines and warehouses in production environments.</li><li>
Advanced SQL skills, including complex window functions, CTEs, incremental logic, and performance‑optimized aggregations.</li><li>
Proficiency in Python, especially for PySpark transformations, data validation, and pipeline automation.</li><li>
Strong understanding of dimensional modeling, medallion/layered architectures, and data quality best practices.</li><li>
Experience with CI/CD for data, including automated testing, version control, and deployment pipelines.</li></ul><h3 class="jobSectionHeader">
Nice‑to‑Have Qualifications</h3><ul><li>
Experience building or operationalizing ML models (propensity, churn, segmentation) within a data platform.</li><li>
Background in banking, financial services, or fintech data domains.</li><li>
Familiarity with Azure services (ADLS Gen2, Azure SQL, Databricks on Azure).</li><li>
Experience with multi‑tenant SaaS data architectures, including schema isolation and tenant‑aware partitioning.</li><li>
Exposure to data mesh concepts and domain‑oriented data ownership.</li><li>
Familiarity with Databricks Unity Catalog, Auto Loader, or Databricks Workflows.</li><li>
Experience with Linear, GitHub Actions, or similar project management and CI/CD tooling.</li></ul>
SxdPau6ofa</div>

Senior Software Consultant - Databricks / Snowflake - Afternoon

Skylink Distributions (Pvt.) Ltd

The ideal candidate should have 3&ndash;4 years of professional experience in Data Analytics and Data Engineering, along with working experience in ERP systems, with proven hands-on expertise in building data pipelines, performing advanced analytics, integrating ERP data sources, and deploying scalable data solutions aligned with business objectives.Key ResponsibilitiesData Management &amp; Analysis<ul><li>Clean, pre-process, and validate large datasets to ensure accuracy, completeness, and consistency.</li><li>Handle missing values, outliers, and data inconsistencies using appropriate statistical techniques.</li><li>Conduct exploratory data analysis (EDA) using tools such as Python, R, SPSS, or other specialised statistical software.</li><li>Develop predictive and analytical models to solve business problems and improve decision-making.</li><li>Ensure adherence to data privacy regulations and internal governance standards.</li></ul>Data Visualization &amp; Reporting<ul><li>Create clear, impactful visualizations including dashboards, charts, and analytical reports.</li><li>Present findings and strategic insights to stakeholders in a clear and actionable manner.</li><li>Translate complex analytical results into business-friendly recommendations.</li></ul>Leadership &amp; Strategy<ul><li>Lead and mentor a team of data analysts and data scientists, fostering technical growth and professional development.</li><li>Provide guidance on best practices in modeling, feature engineering, and data validation.</li><li>Stay updated with the latest data science trends, tools, frameworks, and methodologies to continuously enhance team capabilities.</li><li>Define data science strategy aligned with organizational goals.</li></ul>Data Engineering &amp; Infrastructure Collaboration<ul><li>Manage and monitor data pipelines, ensuring data integrity, security, and performance.</li><li>Collaborate with data engineers to ensure seamless integration of data solutions within the company&rsquo;s infrastructure.</li><li>Oversee deployment, monitoring, and maintenance of machine learning models in production environments.</li></ul>Cross-Functional Collaboration<ul><li>Work closely with Research Teams, Clients, and Business Units to define project goals, KPIs, and deliverables.</li><li>Act as a bridge between technical teams and business stakeholders to ensure alignment.</li><li>Communicate project progress, risks, and outcomes effectively to leadership.</li></ul>ERP &amp; Business Intelligence Integration<ul><li>Lead integration of ERP systems with data science models and business intelligence platforms.</li><li>Ensure synchronisation between operational systems and analytical frameworks.</li><li>Align ERP-driven data workflows with predictive modeling and reporting tools to support strategic decision-making.</li></ul>Required Qualifications<ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Data Science, Computer Science, Statistics, Information Systems, or related field.</li><li>Strong expertise in Python, R, SQL, and statistical modeling techniques.</li><li>Experience with BI tools (e.g., Power BI, Tableau, or similar platforms).</li><li>Proven experience in managing data pipelines and model deployment.</li><li>Experience integrating ERP systems with analytics and BI tools.</li><li>Strong understanding of data governance, security, and compliance principles.</li></ul>Core Competencies<ul><li>Leadership and team management</li><li>Strategic thinking and business acumen</li><li>Advanced analytical and statistical skills</li></ul>Job Type: Full-timeWork Location: In person

Data Science Analyst

<div>Site Name: Pakistan - Sindh - Karachi 
Posted Date: Mar 3 2026 
Job Purpose
You will design and deliver data-driven solutions that improve how we connect with customers and measure impact. You will work closely with analytics, and commercial teams to build models, dashboards and reports. We value curiosity, clear communication, and a practical, outcomes-focused approach. This role offers growth, technical stretch and real impact as you help unite science, technology and talent to get ahead of disease together. 
 
Key Responsibilities<ul><li>
Build, validate and deploy predictive and descriptive models to answer business questions and guide decisions.</li><li>
Develop automated pipelines to collect, clean and transform data from multiple sources.</li><li>
Create sales specific dashboards and reports that make insights easy to understand for non-technical colleagues.</li><li>
Design and analyze A/B tests and other experiments to measure campaign and channel effectiveness.</li><li>
Work with data engineers, IT and stakeholders to ensure data quality, governance and operational readiness.</li><li>
Present insights, findings and recommendations clearly to cross-functional teams and senior stakeholders.</li></ul> 
Education, Experience &amp; Skills<ul><li>
Bachelor&rsquo;s or Master&rsquo;s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field.</li><li>
1 to 5 years experience working in data science, analytics, or related roles.</li><li>
Strong programming skills in Python or R and proficiency in SQL.</li><li>
Practical experience building machine learning models and productionising them.</li><li>
Experience with data visualisation tools such as Power BI, Tableau, or similar.</li><li>
Comfortable working on-site in Pakistan with a hybrid working pattern as agreed with your manager.</li><li>
Experience with cloud platforms such as Azure, AWS or Google Cloud.</li><li>
Familiarity with big data tools such as Databricks, Spark, or data engineering frameworks.</li><li>
Experience with CI/CD, automated testing and DevOps practices for data projects.</li><li>
Exposure to omnichannel, marketing analytics, customer segmentation or experiment design.</li><li>
Strong stakeholder management and experience communicating technical work to business audiences.</li></ul> 
What we value in you<ul><li>
A curiosity for solving messy, real-world problems with data.</li><li>
Clear and simple communication that helps others act on insights.</li><li>
Teamwork and respect for different perspectives.</li><li>
A pragmatic approach that balances rigor with delivering value quickly.</li><li>
A commitment to ethical use of data and strong data stewardship.</li></ul>
Why GSK? 
Uniting science, technology and talent to get ahead of disease together.
GSK is a global biopharma company with a purpose to unite science, technology and talent to get ahead of disease together. We aim to positively impact the health of 2.5 billion people by the end of the decade, as a successful, growing company where people can thrive. We get ahead of disease by preventing and treating it with innovation in specialty medicines and vaccines. We focus on four therapeutic areas: respiratory, immunology and inflammation; oncology; HIV; and infectious diseases &ndash; to impact health at scale.
People and patients around the world count on the medicines and vaccines we make, so we&rsquo;re committed to creating an environment where our people can thrive and focus on what matters most. Our culture of being ambitious for patients, accountable for impact and doing the right thing is the foundation for how, together, we deliver for patients, shareholders and our people.
Contact information: 
You may apply for this position online by selecting the Apply now button.
Important notice to Employment businesses/ Agencies
GSK does not accept referrals from employment businesses and/or employment agencies in respect of the vacancies posted on this site. All employment businesses/agencies are required to contact GSK's commercial and general procurement/human resources department to obtain prior written authorization before referring any candidates to GSK. The obtaining of prior written authorization is a condition precedent to any agreement (verbal or written) between the employment business/ agency and GSK. In the absence of such written authorization being obtained any actions undertaken by the employment business/agency shall be deemed to have been performed without the consent or contractual agreement of GSK. GSK shall therefore not be liable for any fees arising from such actions or any fees arising from any referrals by employment businesses/agencies in respect of the vacancies posted on this site.</div>

Data Scientist

Softech Worldwide

<div>
 We're seeking passionate, driven, and self-motivated individuals to join our team. If you're eager to grow in a dynamic environment and be part of a company that&rsquo;s at the forefront of AI innovation, this is your chance to hit the ground running.
 
 
 VIDIZMO is a USA-based technology company headquartered in Tysons, Virginia, and a Microsoft Solutions Partner in Data &amp; AI, Infrastructure, and Digital &amp; App Innovation. Offering a AI-Powered Intelligence Hub, we empower Fortune 500 companies, large enterprises, governments, and the public sector to securely manage, analyze, and govern their data with complete control and compliance.
 
 
 Our Multimodal AI Data Intelligence Platform leverages Large Language Models (LLMs) and RAG (Retrieval-Augmented Generation) to deliver powerful capabilities such as auto-tagging, redaction, content summarization, OCR, translation, subtitle creation, object detection and tracking, content search, sentiment and emotion analysis, topic extraction, document classification, and facial attribute detection.
 
 
 AI Output Verification &amp; Accountability (Required Competency)
 
 
 The candidate must be capable of effectively using AI tools (e.g., Claude, ChatGPT, Copilot, or similar) to support work outputs such as content, analysis, documentation, or code. However, the candidate must also demonstrate strong judgment and ownership of the final deliverables. AI-generated output must never be treated as final without review. The candidate is expected to validate accuracy, completeness, logic, compliance, and alignment with business requirements, and refine AI-assisted work to meet the expected quality standards. The individual will be held accountable for the final output, regardless of whether AI tools were used during execution.
 
 
 
 Responsibilities
 
 
 
 <ul>
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 Gather and evaluate user requirements in collaboration with product managers &amp; engineers.
 </li>
 <li>
 Responsibility for reviewing and validating AI-generated outputs
 </li>
 <li>
 Ownership of final deliverables, regardless of AI assistance
 </li>
 <li>
 Ability to critically evaluate AI results and ensure they meet defined requirements
 </li>
 <li>
 Accountability for accuracy, quality, and compliance
 </li>
 <li>
 Communicate scenarios, end-to-end experiences, interaction models, and mock-ups with the team.
 </li>
 <li>
 Develop, maintain, and enhance web applications using Angular 2+, React, and JavaScript.
 </li>
 <li>
 Create reusable widgets and componentry for efficient development.
 </li>
 <li>
 Build and maintain a scalable server-side technology stack, providing APIs for various products and integrations.
 </li>
 <li>
 Develop and enhance back-end processing pipelines to ensure scalability and performance.
 </li>
 <li>
 Ensure security, scalability, and elasticity to support high-traffic applications.
 </li>
 <li>
 Perform unit testing, integration testing, peer code reviews, and participate in bug bashes.
 </li>
 <li>
 Follow and enforce Agile (SCRUM) development methodologies.
 </li>
 <li>
 Continuously research and adopt new technologies to improve application performance.
 
 
 </li>
 </ul>
 
 Required Skills
 
 
 
 <ul>
 <li>
 Strong proficiency in Angular 2+, React, and JavaScript.
 </li>
 <li>
 Experience with at least one back-end technology such as ASP.NET, C#, Java Spring Boot, NodeJS, or Python.
 </li>
 <li>
 Expertise in API development and middleware for web applications.
 </li>
 <li>
 Knowledge of SQL Server, Visual Studio 2019, and SQL Server Management Studio.
 </li>
 <li>
 Experience designing scalable applications with a deep understanding of security best practices.
 </li>
 <li>
 Familiarity with Agile (SCRUM) development processes.
 
 
 </li>
 </ul>
 
 Preferred Skills
 
 
 
 <ul>
 <li>
 Experience with ASP.NET Core, ASP.NET 5, SignalR, gRPC, WebSockets.
 </li>
 <li>
 Hands-on experience with Azure DevOps, AWS, or Google PaaS Services.
 </li>
 <li>
 Knowledge of system-level programming (sockets, multi-threading, distributed applications).
 </li>
 <li>
 Exposure to video streaming technologies, encoders/decoders.
 </li>
 <li>
 Experience with Containers, Elastic Search, Kafka, RabbitMQ, Zipkin, Consul, Zookeeper, Redis, gRPC protocols, and mDNS.
 
 
 </li>
 </ul>
 
 Qualifications &amp; Experience
 
 
 
 <ul>
 <li>
 BS in Computer Science, Software Engineering, or a related IT field.
 </li>
 <li>
 Strong understanding of OOP principles and data structuring concepts.
 </li>
 <li>
 Must be authorized to work legally.
 
 
 </li>
 </ul>
 
 Essential Skills
 
 
 
 The ideal candidate demonstrates strong business acumen, can translate objectives into impactful solutions, and is proficient in leveraging AI tools&mdash;including mandatory use of platforms like ChatGPT&mdash;to enhance efficiency. An ownership mindset and the ability to drive outcomes with minimal task-level direction are essential.
 
 
 Benefits: Health Insurance (OPD/IPD), Separate Maternity Cover, Leave encashment, Car Support Program, Referral Bonus, EOBI, Bi-Annual Increment. Provident Fund, Career Growth, Bonus (benefits vary based on location)
 
 
 Multiple Locations:
 
 
 USA, Pakistan, India, UAE, Australia, Canada
 
 
 (benefits vary based on location)
</div>

Full stack Engineer (Angular & .Net)

Explore 549+ Data engineer in Karachi Pakistan this March. Find roles across top companies and apply now to boost your career.

549 data engineer jobs In Karachi Pakistan

Data Engineer

Data Engineer

Data Engineer

Senior Software Consultant - Databricks / Snowflake - Afternoon

Data Science Analyst

Data Scientist

Full stack Engineer (Angular & .Net)