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data integration / etl developer (oracle cloud data integration) Jobs in Karachi

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Datamatics Technologies

<div>
 
 Informatica IDMC Data Quality Engineer
 
 
 Experience:
 
 
 5&ndash;6 Years
 
 
 Duration:
 
 
 6 Months (Extendable up to 1 Year)
 
 
 Location:
 
 
 Offshore
 
 
 Start Date:
 
 
 Around May
 
 
 Role Purpose
 
 
 The Data Quality Engineer will be responsible for designing, implementing, and managing data quality solutions using Informatica IDMC to ensure high data accuracy, completeness, and reliability.
 
 
 Key Responsibilities
 
 <ul>
 <li>
 Develop and implement
 
 data quality rules, scorecards, and monitoring frameworks
 
 </li>
 <li>
 Perform
 
 data profiling, cleansing, and standardization
 
 </li>
 <li>
 Design workflows using
 
 Informatica Data Quality (IDQ) within IDMC
 
 </li>
 <li>
 Collaborate with business stakeholders to define
 
 data quality KPIs and standards
 
 </li>
 <li>
 Identify and resolve
 
 data anomalies and inconsistencies
 
 </li>
 <li>
 Create and maintain
 
 data quality dashboards and reports
 
 </li>
 <li>
 Ensure alignment with
 
 data governance policies and compliance standards
 
 </li>
 <li>
 Work closely with ETL teams to integrate
 
 data quality checks into pipelines
 
 </li>
 </ul>
 
 Required Skills
 
 <ul>
 <li>
 Strong experience with
 
 Informatica IDMC Data Quality / IDQ
 
 </li>
 <li>
 Expertise in
 
 data profiling, cleansing, and validation techniques
 
 </li>
 <li>
 Knowledge of
 
 SQL and data analysis
 
 </li>
 <li>
 Understanding of
 
 data governance and data quality frameworks
 
 </li>
 <li>
 Experience working with
 
 large datasets and enterprise systems
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 <ul>
 <li>
 Informatica Data Quality certification &ndash;
 
 good to have
 
 </li>
 <li>
 Experience in
 
 data governance tools and metadata management
 
 </li>
 <li>
 Exposure to
 
 regulatory compliance frameworks (PDPL, GDPR, etc.)
 
 </li>
 </ul>
</div>

Informatica IDMC Data Quality Engineer

Hope Global School

<div><h3 class="jobSectionHeader">Job Description</h3>
<div>AI Engineer &ndash; Agentic Data Platform designs, builds, and deploys autonomous AI agents that reason, plan, and execute tasks using LLMs, multi-agent frameworks, and enterprise data pipelines &mdash; transforming complex business operations into intelligent, self-directed, and scalable automated workflows.</div>
<h3 class="jobSectionHeader">Key Responsibilities</h3>
<ul><li>Architect and build autonomous multi-agent AI systems at scale.</li>
<li>Integrate LLMs and agentic frameworks into enterprise data platforms.</li>
<li>Design and optimize data pipelines for AI agent consumption and retrieval.</li>
<li>Develop evaluation frameworks to monitor agent accuracy and performance.</li>
<li>Implement guardrails for safety, compliance, and production-grade reliability.</li>
<li>Collaborate with data scientists, engineers, and business stakeholders cross-functionally.</li>
<li>Research and prototype emerging agentic AI models, tools, and frameworks.</li>
<li>Translate complex business challenges into autonomous AI-native solution designs.</li>
</ul><h3 class="jobSectionHeader">Skill &amp; Experience</h3>
<ul><li>Proficiency in Python with LangChain, LangGraph, or similar orchestration tools.</li>
<li>Strong knowledge of LLMs, prompt engineering, and AI agent design patterns.</li>
<li>Experience with cloud platforms including AWS, GCP Vertex AI, or Azure.</li>
<li>Solid understanding of vector databases, RAG pipelines, and knowledge graphs.</li>
<li>Familiarity with MLOps, CI/CD, and agent observability and monitoring tools.</li>
<li>Strong problem-solving, analytical thinking, and effective cross-functional communication.</li>
</ul>
Note: Salary depends on experience and skills and is paid in local currency.</div>
 <div></div><div><ul><li><div><div>Date Posted</div>
<div>March 26, 2026</div>
</div></li><div></div><li><div><div>Location</div>
<div><div>Karachi
</div></div></div></li><div></div><li><div><div>Offered Salary:</div>
<div>3461238 - 4012509 / year</div>
</div></li><div></div><li><div><div>Expiration date</div>
<div>November 20, 2028
</div></div></li><div></div><li><div><div>Experience</div>
<div>2 Year
</div></div></li><div></div><li><div><div>Gender</div>
<div>Both
</div></div></li><div></div><li><div><div>Qualification</div>
<div>Bachelor Degree</div></div></li></ul></div>

AI Engineer

Confiz

<div>We are seeking a Senior Power BI Engineer with strong experience in Microsoft Dynamics 365 Finance &amp; Operations (F&amp;O) to lead the design, development, and optimization of enterprise-grade Business Intelligence solutions.
The ideal candidate will have deep expertise in Power BI, data modeling, and cloud-based BI architecture, with proven experience integrating and reporting on Dynamics 365 F&amp;O data. This role requires a balance of technical leadership, data engineering expertise, and stakeholder engagement to deliver scalable analytics solutions that support strategic decision-making.
Responsibilities:
<ul><li>Design, develop, and maintain scalable Power BI datasets, semantic models, and dashboards aligned with business and reporting requirements.</li>
<li>Build and optimize BI solutions leveraging Microsoft Fabric, Azure Data Platform, and Power BI.</li>
<li>Integrate and model data from Microsoft Dynamics 365 Finance &amp; Operations (F&amp;O) including finance, supply chain, procurement, and operations modules.</li>
<li>Develop robust data models, ETL/ELT pipelines, and data transformation processes to support enterprise reporting.</li>
<li>Optimize Power BI data models, queries, and refresh processes to ensure high performance and scalability.</li>
<li>Troubleshoot and resolve issues related to data connectivity, data refresh failures, gateway configurations, and performance bottlenecks.</li>
<li>Implement data governance, security, and role-level security (RLS) to ensure compliance with enterprise data standards.</li>
<li>Collaborate with business stakeholders, functional teams, and data engineers to translate business requirements into scalable BI solutions.</li>
<li>Work closely with Dynamics F&amp;O functional teams to ensure accurate interpretation of financial and operational data.</li>
<li>Establish and enforce best practices for Power BI development, data modeling, and deployment pipelines.</li>
<li>Document data architecture, BI processes, semantic models, and troubleshooting procedures.</li>
<li>Provide technical guidance and mentorship to junior BI developers and analysts.</li>
<li>Participate in Agile ceremonies, sprint planning, and solution design discussions to ensure timely project delivery.</li>
<li>Communicate project status, risks, and dependencies effectively with both technical and business stakeholders.</li>
</ul>
Requirements:
<ul><li>Bachelor&rsquo;s degree in Computer Science, Information Technology, Software Engineering, or a related field.</li>
<li>6+ years of experience in Business Intelligence and Data Analytics.</li>
<li>4+ years of hands-on experience with Power BI development, including data modeling, DAX, and performance optimization.</li>
<li>Strong experience working with Microsoft Dynamics 365 Finance &amp; Operations (F&amp;O) data models and reporting.</li>
<li>Experience integrating F&amp;O data through Data Lake, BYOD, Dataverse, or Azure-based data pipelines.</li>
<li>Hands-on experience with Microsoft Fabric, Azure Data Factory, Synapse, or similar data platforms.</li>
<li>Strong knowledge of data warehousing concepts, dimensional modeling, and data integration techniques.</li>
<li>Experience working with large-scale enterprise datasets and complex reporting environments.</li>
<li>Expertise in Power BI dataset optimization, incremental refresh, and query performance tuning.</li>
<li>Experience implementing Row-Level Security (RLS) and data governance best practices.</li>
</ul>
Preferred Qualifications:
<ul><li>Experience with Azure Data Lake, Azure Synapse Analytics, or SQL-based data warehousing.</li>
<li>Familiarity with Dynamics F&amp;O entities, financial dimensions, and operational reporting structures.</li>
<li>Experience implementing enterprise BI architectures using Microsoft Fabric or Azure data platform.</li>
<li>Knowledge of CI/CD pipelines for Power BI deployments.</li>
<li>Experience working in Agile or Scrum environments.</li>
<li>Strong analytical and problem-solving abilities.</li>
<li>Ability to translate complex business requirements into scalable BI solutions.</li>
<li>Excellent stakeholder communication and presentation skills.</li>
<li>Ability to work independently while collaborating across cross-functional teams.</li>
<li>Strong focus on data quality, governance, and performance optimization.</li>
</ul>
We have an amazing team of 700+ individuals working on highly innovative enterprise projects &amp; products. Our customer base includes Fortune 100 retail and CPG companies, leading store chains, fast-growth fintech, and multiple Silicon Valley startups.
What makes Confiz stand out is our focus on processes and culture. Confiz is ISO 9001:2015 (QMS), ISO 27001:2022 (ISMS), ISO 20000-1:2018 (ITSM), ISO 14001:2015 (EMS), ISO 45001:2018 (OHSMS) Certified. We have a vibrant culture of learning via collaboration and making workplace fun.
People who work with us work with cutting-edge technologies while contributing success to the company as well as to themselves.
To know more about Confiz Limited, visit: https://www.linkedin.com/company/confiz-pakistan/</div>

Principal Power BI Engineer (Dynamics 365 F&O)

Datamatics Global Services Ltd

<div>Job Title: Data Integration / ETL Developer (Oracle Cloud Data Integration) 
Location: Offshore 
Experience: 5+ Years<h3 class="jobSectionHeader">
Job Summary</h3>
We are seeking an experienced Data Integration / ETL Developer responsible for designing and developing data ingestion and transformation pipelines to support enterprise analytics and reporting solutions. The ideal candidate will work with large datasets and build scalable ETL workflows that feed data into the analytics layer used for dashboards and business intelligence reports.
The role requires strong expertise in Oracle Cloud Data Integration (OCI Data Integration) or similar ETL platforms, along with advanced SQL and data transformation skills. The candidate will collaborate closely with BI developers and analysts to ensure that data structures and pipelines effectively support reporting and analytics requirements.<h3 class="jobSectionHeader">
Key Responsibilities</h3><ul><li>
Develop and maintain data ingestion and transformation pipelines using Oracle Cloud Data Integration.</li><li>
Design and implement ETL workflows to extract, transform, and load data into the analytics data layer.</li><li>
Build and maintain data mappings and transformation logic to support business reporting requirements.</li><li>
Support data preparation, cleansing, and dataset creation for dashboards and analytics solutions.</li><li>
Troubleshoot and resolve data pipeline issues, failures, and data availability problems.</li><li>
Collaborate with BI developers and analysts to ensure data structures support reporting and dashboard requirements.</li><li>
Optimize ETL pipelines for performance, reliability, and scalability.</li><li>
Ensure proper documentation of data pipelines, mappings, and transformation rules.</li><li>
Follow data governance and best practices for data integration and quality management.</li></ul><h3 class="jobSectionHeader">
Required Skills &amp; Qualifications</h3><ul><li>
Hands-on experience with Oracle Cloud Data Integration (OCI DI) or similar ETL tools.</li><li>
Strong proficiency in SQL and data transformation techniques.</li><li>
Experience designing and developing ETL pipelines for analytics and reporting solutions.</li><li>
Knowledge of data modelling concepts and data warehousing principles.</li><li>
Ability to work with large datasets and complex data transformation logic.</li><li>
Strong troubleshooting and problem-solving skills.</li><li>
Good collaboration skills to work with BI developers, analysts, and data teams.</li></ul><h3 class="jobSectionHeader">
Preferred Qualifications</h3><ul><li>
Experience with cloud-based data platforms and analytics environments.</li><li>
Familiarity with data warehousing architectures such as star schema and dimensional modelling.</li><li>
Exposure to Agile or iterative data engineering development practices.</li></ul>
c5SNQNwZEa</div>

Data Integration / ETL Developer (Oracle Cloud Data Integration)

<div>
 
 
 Job Title:
 
 Data Integration / ETL Developer (Oracle Cloud Data Integration)
 
 
 Location:
 
 &nbsp;Offshore
 
 
 Experience:
 
 5+ Years
 
 Job Summary
 
 We are seeking an experienced
 
 Data Integration / ETL Developer
 
 responsible for designing and developing data ingestion and transformation pipelines to support enterprise analytics and reporting solutions. The ideal candidate will work with large datasets and build scalable ETL workflows that feed data into the analytics layer used for dashboards and business intelligence reports.
 
 
 The role requires strong expertise in
 
 Oracle Cloud Data Integration (OCI Data Integration) or similar ETL platforms
 
 , along with advanced SQL and data transformation skills. The candidate will collaborate closely with BI developers and analysts to ensure that data structures and pipelines effectively support reporting and analytics requirements.
 
 Key Responsibilities
 <ul>
 <li>
 
 Develop and maintain
 
 data ingestion and transformation pipelines
 
 using Oracle Cloud Data Integration.
 
 </li>
 <li>
 
 Design and implement
 
 ETL workflows
 
 to extract, transform, and load data into the analytics data layer.
 
 </li>
 <li>
 
 Build and maintain
 
 data mappings and transformation logic
 
 to support business reporting requirements.
 
 </li>
 <li>
 
 Support
 
 data preparation, cleansing, and dataset creation
 
 for dashboards and analytics solutions.
 
 </li>
 <li>
 
 Troubleshoot and resolve
 
 data pipeline issues, failures, and data availability problems
 
 .
 
 </li>
 <li>
 
 Collaborate with
 
 BI developers and analysts
 
 to ensure data structures support reporting and dashboard requirements.
 
 </li>
 <li>
 
 Optimize ETL pipelines for
 
 performance, reliability, and scalability
 
 .
 
 </li>
 <li>
 
 Ensure proper
 
 documentation of data pipelines, mappings, and transformation rules
 
 .
 
 </li>
 <li>
 
 Follow data governance and best practices for
 
 data integration and quality management
 
 .
 
 </li>
 </ul>
 Required Skills &amp; Qualifications
 <ul>
 <li>
 
 Hands-on experience with
 
 Oracle Cloud Data Integration (OCI DI) or similar ETL tools
 
 .
 
 </li>
 <li>
 
 Strong proficiency in
 
 SQL and data transformation techniques
 
 .
 
 </li>
 <li>
 
 Experience designing and developing
 
 ETL pipelines for analytics and reporting solutions
 
 .
 
 </li>
 <li>
 
 Knowledge of
 
 data modelling concepts and data warehousing principles
 
 .
 
 </li>
 <li>
 
 Ability to work with
 
 large datasets and complex data transformation logic
 
 .
 
 </li>
 <li>
 
 Strong troubleshooting and problem-solving skills.
 
 </li>
 <li>
 
 Good collaboration skills to work with BI developers, analysts, and data teams.
 
 </li>
 </ul>
 Preferred Qualifications
 <ul>
 <li>
 
 Experience with
 
 cloud-based data platforms and analytics environments
 
 .
 
 </li>
 <li>
 
 Familiarity with
 
 data warehousing architectures such as star schema and dimensional modelling
 
 .
 
 </li>
 <li>
 
 Exposure to
 
 Agile or iterative data engineering development practices
 
 .
 
 </li>
 </ul>
</div>

<div>
 Job Description
 
 
 Job Title:
 
 Expert Data Scientist &ndash; Demand Planning &amp; Forecasting (Machine Learning)
 
 
 Project:
 
 &nbsp;Demand Planning ML Models Initiative
 
 
 Role Level:
 
 Expert / Principal (Hands-on, Delivery-Focused)
 
 
 Employment Type:
 
 Full-Time
 
 
 Experience:
 
 &nbsp; 7+ Years
 
 
 Job Location:
 
 Remote
 
 
 Job Timing:
 
 Vietnam Time Zone
 
 Role Overview
 
 We are seeking an
 
 Expert Data Scientist
 
 with deep hands-on experience in
 
 machine learning&ndash;based demand forecasting
 
 to support the
 
 ANZ Demand Planning ML Models initiative
 
 .
 
 
 This role requires a senior practitioner capable of
 
 independently designing, developing, and delivering enterprise-grade demand forecasting models
 
 . The ideal candidate will own forecasting solutions end-to-end and help improve business decision-making through highly accurate predictive models.
 
 
 Key ResponsibilitiesDemand Planning &amp; Forecasting (Core Focus)
 <ul>
 <li>
 
 Lead the
 
 design, development, and optimization of ML-based demand forecasting models
 
 .
 
 </li>
 <li>
 
 Work extensively with
 
 time-series datasets related to sales, demand, and supply planning
 
 .
 
 </li>
 <li>
 
 Apply and optimize
 
 statistical forecasting techniques and machine learning algorithms
 
 .
 
 </li>
 <li>
 
 Perform
 
 advanced feature engineering
 
 incorporating seasonality, trends, promotions, pricing, holidays, and external drivers.
 
 </li>
 <li>
 
 Conduct
 
 back-testing, validation, and scenario analysis
 
 to continuously improve forecast accuracy.
 
 
 </li>
 </ul>
 Data Science Leadership &amp; Delivery
 <ul>
 <li>
 
 Own the
 
 end-to-end data science lifecycle
 
 , from data exploration and model development to deployment support.
 
 </li>
 <li>
 
 Define, monitor, and optimize forecasting KPIs including
 
 MAPE, RMSE, and MAE
 
 .
 
 </li>
 <li>
 
 Review, validate, and refine forecasting methodologies to ensure accuracy and scalability.
 
 </li>
 <li>
 
 Clearly communicate
 
 model logic, assumptions, and insights
 
 to business and executive stakeholders.
 
 
 </li>
 </ul>
 Collaboration &amp; Execution
 <ul>
 <li>
 
 Collaborate closely with
 
 Data Engineers, Analytics teams, and business stakeholders
 
 to operationalize forecasting models.
 
 </li>
 <li>
 
 Support
 
 production deployment, monitoring, and model performance improvements
 
 .
 
 </li>
 <li>
 
 Drive
 
 knowledge sharing and best practices
 
 in forecasting and machine learning across teams.
 
 
 </li>
 </ul>
 Required Experience
 <ul>
 <li>
 
 
 7+ years
 
 of experience in
 
 Data Science / Machine Learning
 
 .
 
 </li>
 <li>
 
 
 5+ years of hands-on experience in demand forecasting or demand planning using machine learning
 
 .
 
 </li>
 <li>
 
 Proven experience delivering
 
 production-grade or business-critical forecasting models
 
 .
 
 </li>
 <li>
 
 Strong experience working with
 
 enterprise-scale time-series datasets
 
 .
 
 
 </li>
 </ul>
 Technical Skills
 <ul>
 <li>
 
 Advanced
 
 Python for Data Science and Machine Learning
 
 .
 
 </li>
 <li>
 
 Strong expertise in
 
 time-series forecasting techniques
 
 (statistical and ML-based).
 
 </li>
 <li>
 
 Experience with machine learning models such as
 
 regression, tree-based models, and ensemble methods
 
 .
 
 </li>
 <li>
 
 Advanced
 
 feature engineering for demand and planning datasets
 
 .
 
 </li>
 <li>
 
 Strong
 
 SQL and data manipulation
 
 capabilities.
 
 </li>
 <li>
 
 Experience with
 
 forecast evaluation metrics (MAPE, RMSE, MAE)
 
 .
 
 
 </li>
 </ul>
 Soft Skills
 <ul>
 <li>
 
 Strong
 
 ownership and accountability mindset
 
 .
 
 </li>
 <li>
 
 Excellent
 
 analytical and problem-solving capabilities
 
 .
 
 </li>
 <li>
 
 Ability to
 
 communicate complex technical concepts to non-technical stakeholders
 
 .
 
 </li>
 <li>
 
 Comfortable working in
 
 fast-paced environments with tight delivery timelines
 
 .
 
 </li>
 </ul>
</div>

Expert Data Scientist

TechnoSys

Company Description: TechnoSys is a dynamic team of professionals serving the IT sector in Pakistan since 1998. We specialize in retail ERP software solutions and cater to Pakistan's top-notch local retail brands across various verticals, including Restaurant, Bakery, Supermarket, Fashion Retail, Optician, and Distributors. Our commitment to innovation and excellence has made us a leader in the industry. Join our team and contribute to shaping the future of retail technology.Role Description: This is a full-time on-site role for an Artificial Intelligence Engineer located in Karachi. The AI Engineer will be responsible for designing and developing AI models, implementing machine learning algorithms, and conducting research on advanced AI technologies. Day-to-day tasks include pattern recognition, natural language processing, and neural networks development. The AI Engineer will collaborate with cross-functional teams to integrate AI solutions into software products and enhance system capabilities.Requirements: <ul><li>Design, develop, and implement AI/ML models for various business applications.</li><li>Research and apply the latest AI technologies and best practices.</li><li>Train, test, and evaluate models using appropriate datasets.</li><li>Optimize models for performance, scalability, and accuracy.</li><li>Collaborate with software developers, data scientists, and product teams to integrate AI solutions into production systems.</li><li>Maintain and monitor deployed models to ensure reliability and performance.</li><li>Document model architecture, process flow, and performance metrics.</li><li>Contribute to innovation by proposing new AI-based features and tools.</li></ul>Qualification:<ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, AI, Data Science, or a related field.</li><li>Proven experience in AI/ML development (minimum 2&ndash;3 years preferred).</li><li>Proficiency in Python and AI frameworks (TensorFlow, PyTorch, Keras, etc.).</li><li>Strong understanding of data structures, algorithms, and statistical methods.</li></ul>Details: <ul><li>Timings: 9 am - 6 pm</li><li>Days: Monday to Friday</li><li>Market Competitive Salary package</li></ul>Job Type: Full-timeWork Location: In person

Explore 411+ Data engineer in Karachi this April. Find roles across top companies and apply now to boost your career.

411 data engineer jobs In Karachi

Informatica IDMC Data Quality Engineer

AI Engineer

Principal Power BI Engineer (Dynamics 365 F&O)

Data Integration / ETL Developer (Oracle Cloud Data Integration)

Data Integration / ETL Developer (Oracle Cloud Data Integration)

Expert Data Scientist

AI Engineer