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data etl engineer

Creativelogicx

<ul><li>Design and implement ETL processes for data transformation and preparation</li><li>Deploy machine learning models to production environments</li><li>Manage data pipelines for analytics and operational use</li><li>Ensure data accuracy and integrity across multiple sources and systems</li><li>Collaborate with data scientists to support NLP algorithms and analytics</li><li>Requirements and skills</li><li>4+ years of experience in data engineering within a production environment</li><li>Advanced knowledge of Python and Linux shell scripting</li><li>Experience with SQL/NoSQL databases (e.g., Redshift, Postgres, MongoDB)</li><li>Proficiency in building stream processing systems using Kafka</li><li>Familiarity with Docker, Kubernetes, and cloud services (AWS, GCP)</li><li>Bonus: Experience with the ELK stack and machine learning knowledge</li></ul>Job Type: Full-timeWork Location: In person

Data ETL Engineer

SwipBox

<div>
 
 
 Job Summary
 
 
 
 We are looking for a Fresh
 
 /
 
 Junior
 
 Python Developer
 
 who has a strong interest in data processing and analytics. This role is ideal for
 
 fresh graduates
 
 who want to start their career in
 
 data engineering and business intelligence
 
 . You will work closely with senior developers and BI teams to build and support data pipelines and reports.
 
 
 
 
 
 
 Education
 
 
 <ul>
 <li>
 BS in
 
 Computer Science, Software Engineering, IT, or Data Science
 
 </li>
 </ul>
 
 
 
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Assist in building and maintaining
 
 ETL pipelines using Python
 
 </li>
 <li>
 Extract data from databases, APIs, Excel, and CSV files
 </li>
 <li>
 Perform data cleaning and transformation using
 
 Pandas
 
 </li>
 <li>
 Load data into databases or data warehouses
 </li>
 <li>
 Write basic to intermediate
 
 SQL queries
 
 </li>
 <li>
 Validate data accuracy and handle missing or incorrect data
 </li>
 <li>
 Support BI dashboards and reporting teams
 </li>
 <li>
 Maintain basic documentation for data workflows
 </li>
 </ul>
 
 
 
 
 
 Required Skills
 
 
 <ul>
 <li>
 Basic to intermediate
 
 Python
 
 programming
 </li>
 <li>
 Understanding of
 
 ETL concepts
 
 </li>
 <li>
 Hands-on experience with
 
 Pandas
 
 </li>
 <li>
 Basic
 
 SQL
 
 (SELECT, JOIN, GROUP BY)
 </li>
 <li>
 Familiarity with
 
 CSV, Excel, and JSON
 
 data formats
 </li>
 <li>
 Basic understanding of
 
 Git
 
 </li>
 <li>
 Good analytical and problem-solving skills.
 </li>
 </ul>
 
 
 
 
 
 Nice to Have
 
 
 <ul>
 <li>
 Exposure to
 
 PySpark / Spark SQL
 
 </li>
 <li>
 Basic understanding of
 
 AWS (Glue, S3, Redshift)
 
 or any cloud platform
 </li>
 <li>
 Familiarity with
 
 Power BI or Amazon QuickSight
 
 </li>
 <li>
 Knowledge of Linux commands
 </li>
 <li>
 Final-year project or internship related to data or analytics
 </li>
 </ul>
 
 
</div>

Junior Python Developer

Centrox AI

Company: Centrox AI Job Title: Senior AI/ML Engineer Job Type: Full time (On-site) Location: Gulberg Greens, IslamabadWe are seeking a highly skilled Senior AI/ML Engineer to lead the design, development, and deployment of advanced machine learning models and AI-driven solutions. The ideal candidate will have strong expertise in deep learning, data science, model optimization, and production-level AI systems. This role involves collaborating with cross-functional teams, leading AI initiatives, mentoring junior engineers, and transforming business challenges into scalable machine learning pipelines. The candidate should be comfortable handling large datasets, building predictive models, integrating algorithms into applications, and ensuring high performance and reliability. Experience with cloud platforms, MLOps, and modern AI frameworks is essential.Key Responsibilities<ul><li>Design, develop, and deploy advanced Machine Learning and Deep Learning models.</li><li>Lead end-to-end AI/ML pipeline development from data preprocessing to model deployment.</li><li>Build and optimize scalable ML architectures for real-time and batch processing.</li><li>Conduct research on emerging AI techniques and integrate best practices.</li><li>Collaborate with data engineers and software developers to integrate models into production systems.</li><li>Evaluate model performance using statistical and analytical techniques.</li><li>Develop APIs and automation scripts for model serving and monitoring.</li><li>Identify business opportunities and recommend innovative AI solutions.</li><li>Mentor junior AI/ML team members and guide them through technical challenges.</li><li>Ensure data quality, security, and compliance in all AI workflows.</li><li>Work with cloud environments (AWS, GCP, Azure) for production deployments.</li><li>Document systems, workflows, and model performance for internal use.</li></ul>Required Skills &amp; Qualifications<ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Data Science, AI, or related field.</li><li>4+ years of professional experience in AI/ML, deep learning, or data science.</li><li>Strong programming expertise in Python, TensorFlow, PyTorch, Scikit-Learn.</li><li>Hands-on experience with LLMs, NLP, CNNs, RNNs, Transformers.</li><li>Experience with cloud services (AWS Sagemaker, Azure ML, GCP Vertex AI).</li><li>Proficiency in MLOps (Docker, Kubernetes, CI/CD, MLflow, Airflow).</li><li>Strong understanding of data pipelines, ETL, and feature engineering.</li><li>Experience with big data tools (Spark, Hadoop, Databricks).</li><li>Strong mathematics and statistics background.</li><li>Excellent problem-solving and analytical skills.</li></ul>Preferred/Good to Have<ul><li>Experience in Generative AI (LLMs, diffusion models).</li><li>Knowledge of API development using FastAPI or Flask.</li><li>Experience with vector databases (Pinecone, Weaviate, FAISS).</li><li>Familiarity with model optimization, quantization, pruning.</li><li>Previous experience leading AI teams or projects.</li></ul>What We Offer<ul><li>Competitive salary package based on experience and expertise.</li><li>Annual bonuses and performance-based rewards.</li><li>Opportunity to work on cutting-edge AI and Generative AI projects.</li><li>A collaborative, innovative, and fast-paced work environment.</li><li>Direct involvement in impactful AI initiatives influencing company-wide strategy.</li><li>Career growth opportunities with leadership and R&amp;D roles.</li><li>Exposure to global clients and enterprise-level AI applications.</li></ul>Job Type: Full-timeApplication Question(s):<ul><li>What would be your expected salary for this position?</li><li>How soon you can join us for this on-site full time position?</li></ul>Education:<ul><li>Bachelor's (Preferred)</li></ul>Experience:<ul><li>relevant: 3 years (Preferred)</li></ul>Work Location: In person

Senior AI/ML Engineer

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 as winner of the Best Tech Work Culture Timmy Award in Washington DC 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
 
 
 
 10Pearls is seeking a highly skilled Data &amp; BI Specialist to support data-driven decision-making across the organization. In this role, you will design, develop, and maintain scalable BI solutions, dashboards, and data pipelines. You will own end-to-end BI delivery including data modeling, ETL design, reporting, testing, and performance optimization. Collaboration with cross-functional teams, a consulting mindset, and strong analytical thinking are critical to success in this role.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Lead the design, development, and maintenance of Business Intelligence solutions, ensuring scalability, reliability, and performance.
 </li>
 <li>
 Own and manage end-to-end BI workflows, including data ingestion, transformation (ETL), data modeling, and reporting layers.
 </li>
 <li>
 Ensure high standards of data quality, accuracy, and governance across all BI assets and reports.
 </li>
 <li>
 Collaborate closely with stakeholders, product teams, and leadership to translate business requirements into actionable insights and analytical solutions.
 </li>
 <li>
 Proactively identify data gaps, reporting inefficiencies, and technical risks, and propose scalable improvements.
 </li>
 <li>
 Apply best practices in BI development, including performance tuning, documentation, and version control.
 </li>
 <li>
 Support business decision-making by delivering meaningful dashboards, reports, and ad-hoc analysis with clear insights.
 </li>
 <li>
 Diagnose and resolve data and reporting issues in production environments.
 </li>
 <li>
 Embrace a consulting mindset by recommending data-driven approaches that align technical solutions with business objectives.
 </li>
 <li>
 Mentor junior team members by sharing BI best practices, analytical techniques, and tooling knowledge.
 </li>
 <li>
 Continuously explore new data technologies, visualization techniques, and analytics trends to enhance BI capabilities.
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in IT or related discipline. (Software Engineering preferred)
 </li>
 <li>
 3+ years of hands-on experience in data analysis, BI development, or data engineering roles.
 </li>
 <li>
 Strong experience working with ETL pipelines, data transformations, and data modeling concepts.
 </li>
 <li>
 Proficiency in at least one BI / data visualization tool such as Qlik Sense, Power BI, Tableau, or similar.
 </li>
 <li>
 Solid command of SQL and experience working with relational databases (e.g., PostgreSQL, MySQL, SQL Server).
 </li>
 <li>
 Experience integrating and consuming data from APIs and external data sources.
 </li>
 <li>
 Strong analytical and problem-solving skills with attention to detail.
 </li>
 <li>
 Ability to manage multiple priorities and work effectively under time constraints.
 </li>
 <li>
 Self-driven learner with a passion for data, analytics, and continuous improvement.
 </li>
 <li>
 Excellent written and verbal communication skills, with the ability to explain data insights to non-technical audiences.
 
 
 </li>
 </ul>
 Powered by JazzHR
 
 
 OnNDDC1bfE
</div>

Senior/Staff Platform Consultant - Data and BI Specialist - Afternoon Shift

Edge

<div>
 
 
 About Edge
 
 
 
 Edge is on a mission to remove geographic borders as barriers to full-time employment and fair wages. We&rsquo;re building a global HR platform ecosystem that seamlessly connects exceptional talent worldwide with North American businesses. By making global hiring easier than local hiring, we give companies a broader talent pool and accelerate their hiring process. Spread across four continents, we&rsquo;re a global team redefining how people work together.
 
 
 
 Role Overview
 
 
 
 We are seeking a
 
 Senior AI/ML Engineer (Agentic AI)
 
 to architect and implement autonomous, goal-driven AI agents. This role is ideal for someone experienced in multi-agent systems, orchestration frameworks, and deploying complex LLM-based agents that can reason, plan, and act in dynamic environments.
 
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 
 Agentic System Design
 
 &ndash; Design and deploy multi-agent or hierarchical reasoning systems capable of planning, self-correction, and collaboration.
 </li>
 <li>
 
 LLM Orchestration
 
 &ndash; Build long-running pipelines using frameworks such as LangGraph, AutoGen, or similar to manage memory, tool-use, and context.
 </li>
 <li>
 
 Tool &amp; Data Integration
 
 &ndash; Connect agents to APIs, knowledge graphs, and vector databases (e.g., Pinecone, Weaviate, Milvus) to enable autonomous decision-making.
 </li>
 <li>
 
 Data &amp; Infrastructure
 
 &ndash; Develop and maintain data pipelines and embedding stores; implement ETL/ELT workflows.
 </li>
 <li>
 
 Optimization &amp; Scaling
 
 &ndash; Fine-tune and optimize LLMs for performance, cost, and safety; implement monitoring and feedback loops.
 </li>
 <li>
 
 Cross-Functional Collaboration
 
 &ndash; Partner with product, engineering, and compliance teams to align agent behavior with business goals and regulatory requirements.
 </li>
 </ul>
 
 
 Must-Have Qualifications
 
 
 <ul>
 <li>
 Demonstrated experience designing and deploying agentic or multi-agent AI systems.
 </li>
 <li>
 Deep understanding of transformer architectures and advanced prompt-engineering strategies.
 </li>
 <li>
 Strong Python skills and expertise with orchestration frameworks (LangGraph, AutoGen, CrewAI, etc.).
 </li>
 <li>
 Proficiency in building robust data pipelines and working with vector databases.
 </li>
 <li>
 Cloud deployment and MLOps experience (AWS, GCP, or Azure).
 </li>
 </ul>
 
 
 Preferred Qualifications
 
 
 <ul>
 <li>
 Experience fine-tuning LLMs with LoRA/QLoRA/PEFT.
 </li>
 <li>
 Knowledge of reinforcement learning, planning algorithms, or neuro-symbolic methods.
 </li>
 <li>
 Contributions to open-source agentic AI frameworks or published research in autonomous AI.
 </li>
 </ul>
 
 
 Why Join Edge?
 
 
 
 Edge is at a pivotal growth stage, giving you the rare opportunity to shape the future of global employment. Your work will directly impact how businesses hire and how talent everywhere connects to opportunity.
 
 
 Join us to
 
 build the next generation of autonomous AI that changes how the world works across borders.
 
 
</div>

AI/ML Engineer (Agentic AI)

Motive

<div>
 
 Who We Are
 
 
 
 Motive empowers the people who run physical operations with tools to make their work safer, more productive, and more profitable. For the first time ever, safety, operations and finance teams can manage their drivers, vehicles, equipment, and fleet related spend in a single system. Combined with industry leading AI, the Motive platform gives you complete visibility and control, and significantly reduces manual workloads by automating and simplifying tasks.
 
 
 Motive serves nearly 100,000 customers &ndash; from Fortune 500 enterprises to small businesses &ndash; across a wide range of industries, including transportation and logistics, construction, energy, field service, manufacturing, agriculture, food and beverage, retail, and the public sector.
 
 
 Visit gomotive.com to learn more.
 
 
 
 About The Role
 
 
 
 As a
 
 Senior
 
 
 Software Engineer - Data Platform
 
 , you will be involved and responsible for full ownership and driving key data platform initiatives and life cycle of the data management including data ingestion, data processing, data storage, querying system, cost reduction efforts towards delivering product features to internal and external Motive customers.
 
 
 We are looking for strong engineers to grow our Data Platform team. This team is responsible for driving the Motive&rsquo;s Data Platform vision. The team works in three areas: build scalable systems and services for data ingestion, access, processing and query to enable data driven product features, collaborate and work closely with the various stakeholders and our backend product teams to improve and add features to the platform.
 
 
 
 What You'll Do
 
 
 
 <ul>
 <li>
 Design and develop scalable distributed systems and frameworks for data management
 </li>
 <li>
 Focus on addressing fault-tolerance and high availability issues, and work on scaling ingestion pipelines, improving and adding features to ETL framework while maintaining SLAs on performance, reliability, and system availability.
 </li>
 <li>
 Collaborate with engineers across teams to identify and deliver cross-functional features
 </li>
 <li>
 Participate in all aspects of the software development life cycle, from design to implementation and delivery.
 
 
 </li>
 </ul>
 
 What We're Looking For
 
 
 
 <ul>
 <li>
 5-10 years hands-on software engineering experience
 </li>
 <li>
 Backend programming skills including multi-threading, concurrency, etc and proficient in one or more of Python
 </li>
 <li>
 Strong CS fundamentals including data structures, algorithms, and distributed systems
 </li>
 <li>
 Experience in designing, implementing, and operating highly scalable software systems and services
 </li>
 <li>
 Experience building systems using technologies like Apache Kafka, Apache Spark, Airflow, Kubernetes
 </li>
 <li>
 Experience with service-oriented architectures
 </li>
 <li>
 Excellent troubleshooting skills and track record of implementing creative solutions
 </li>
 <li>
 Hands on experience with containerized platforms like Docker and Kubernetes
 </li>
 <li>
 BS in Computer Science or a related field; Masters preferred
 </li>
 <li>
 Excellent verbal and written skills. You collaborate effectively with other teams and communicate clearly about your work.
 
 
 </li>
 </ul>
 
 Creating a diverse and inclusive workplace is one of Motive's core values. We are an equal opportunity employer and welcome people of different backgrounds, experiences, abilities and perspectives.
 
 
 
 
 Please review our Candidate Privacy Notice here.
 
 
 
 
 UK Candidate Privacy Notice here.
 
 
 
 
 The applicant must be authorized to receive and access those commodities and technologies controlled under U.S. Export Administration Regulations. It is Motive's policy to require that employees be authorized to receive access to Motive products and technology.
 
</div>

Senior Software Engineer - Data Platform

<div><div>Who we are:

Motive empowers the people who run physical operations with tools to make their work safer, more productive, and more profitable. For the first time ever, safety, operations and finance teams can manage their drivers, vehicles, equipment, and fleet related spend in a single system. Combined with industry leading AI, the Motive platform gives you complete visibility and control, and significantly reduces manual workloads by automating and simplifying tasks.

Motive serves nearly 100,000 customers &ndash; from Fortune 500 enterprises to small businesses &ndash; across a wide range of industries, including transportation and logistics, construction, energy, field service, manufacturing, agriculture, food and beverage, retail, and the public sector.

Visit gomotive.com to learn more.</div> 

<h3 class="jobSectionHeader">
About the Role:</h3>

As a Senior Software Engineer - Data Platform, you will be involved and responsible for full ownership and driving key data platform initiatives and life cycle of the data management including data ingestion, data processing, data storage, querying system, cost reduction efforts towards delivering product features to internal and external Motive customers.
We are looking for strong engineers to grow our Data Platform team. This team is responsible for driving the Motive's Data Platform vision. The team works in three areas: build scalable systems and services for data ingestion, access, processing and query to enable data driven product features, collaborate and work closely with the various stakeholders and our backend product teams to improve and add features to the platform.
<h3 class="jobSectionHeader">
What You'll Do:</h3>
<ul><li>Design and develop scalable distributed systems and frameworks for data management</li>
<li>Focus on addressing fault-tolerance and high availability issues, and work on scaling ingestion pipelines, improving and adding features to ETL framework while maintaining SLAs on performance, reliability, and system availability.</li>
<li>Collaborate with engineers across teams to identify and deliver cross-functional features</li>
<li>Participate in all aspects of the software development life cycle, from design to implementation and delivery.</li>
</ul><h3 class="jobSectionHeader">What We're Looking For:</h3>
<ul><li>5-10 years hands-on software engineering experience</li>
<li>Backend programming skills including multi-threading, concurrency, etc and proficient in one or more of Python</li>
<li>Strong CS fundamentals including data structures, algorithms, and distributed systems</li>
<li>Experience in designing, implementing, and operating highly scalable software systems and services</li>
<li>Experience building systems using technologies like Apache Kafka, Apache Spark, Airflow, Kubernetes</li>
<li>Experience with service-oriented architectures</li>
<li>Excellent troubleshooting skills and track record of implementing creative solutions</li>
<li>Hands on experience with containerized platforms like Docker and Kubernetes</li>
<li>BS in Computer Science or a related field; Masters preferred</li>
<li>Excellent verbal and written skills. You collaborate effectively with other teams and communicate clearly about your work.</li></ul><div> 
Creating a diverse and inclusive workplace is one of Motive's core values. We are an equal opportunity employer and welcome people of different backgrounds, experiences, abilities and perspectives.

Please review our Candidate Privacy Notice here.

UK Candidate Privacy Notice here.

The applicant must be authorized to receive and access those commodities and technologies controlled under U.S. Export Administration Regulations. It is Motive's policy to require that employees be authorized to receive access to Motive products and technology.

#LI-Remote</div></div>

Explore 316+ Data etl engineer in Islamabad this January. Find roles across top companies and apply now to boost your career.

316 data etl engineer jobs IN Islamabad

Data ETL Engineer

Junior Python Developer

Senior AI/ML Engineer

Senior/Staff Platform Consultant - Data and BI Specialist - Afternoon Shift

AI/ML Engineer (Agentic AI)

Senior Software Engineer - Data Platform

Senior Software Engineer - Data Platform