data analyst

business analyst

planning engineer

software engineer

data engineer - i

data engineer

Awesome Technologies Inc.

Job Summary:We are seeking a Senior Data Engineer with deep expertise in SQL, database architecture, and performance optimization to lead a critical initiative aimed at consolidating ~290 databases down to 60&ndash;65 streamlined and optimized systems. This is a highly technical, hands-on role requiring strong analytical thinking and proven experience in large-scale database restructuring projects.Key Responsibilities:<ul><li>Lead and execute a large-scale database consolidation initiative, reducing 290 databases to approximately 60&ndash;65.</li><li>Evaluate existing database architecture and design optimal solutions to support consolidation and performance.</li><li>Write, optimize, and maintain complex SQL queries (preferably using T-SQL) for data migration, transformation, and restructuring.</li><li>Perform indexing, performance tuning, and query optimization to ensure minimal downtime and high system efficiency.</li><li>Work with SSIS and custom scripts to support data movement and integration between systems.</li><li>Use Python for automation, scripting, or handling data transformation workflows where applicable.</li><li>Collaborate with cross-functional teams, including DBAs, developers, and business analysts to ensure seamless data flow and integrity.</li><li>Provide ongoing support, troubleshooting, and documentation throughout the migration process.</li><li>Apply best practices in data engineering, security, and system design.</li></ul>Required Qualifications:<ul><li>Must be good in English Communication</li><li>5+ years of experience as a Data Engineer or Database Engineer with a strong track record of managing complex, large-scale database environments.</li><li>Expert-level SQL skills, preferably T-SQL.</li><li>Deep understanding of database architecture, normalization, and optimization techniques.</li><li>Proven experience in database restructuring or consolidation projects.</li><li>Strong skills in indexing, partitioning, and query performance tuning.</li><li>Proficiency in Python for data handling, automation, or scripting tasks.</li><li>Experience with Microsoft SQL Server and tools such as SSIS.</li><li>Exposure to Google Cloud Platform (GCP) and cloud-based database solutions.</li></ul>Job Type: Full-timeWork Location: In person <div id='job-id'>Job Id: BOSYiCb7zwxXZHV0DjxlfzRo2TVaKnKk5RTtqY6SGMZhBU1SyeeG7fqKIKF0FPf354gRnHW4YOpYCWcEuFivcFbd4Y0kTUikTnrIbIZ4PpWFXCk=</div>

Data Engineer

Horizon Tech

We are seeking an experienced Data Engineer to join our team. The Data Engineer will be responsible for extracting, transforming, and loading data from various sources into data lakes and data warehouses using AWS while ensuring the efficiency and alignment of data systems with business goals. The ideal candidate should have strong analytical skills, familiarity with programming languages such as Python, SQL, and experience in building ETL/ELT pipelines.Must Haves:<ul><li>Bachelors degree in Computer Science or equivalent required.</li><li>2+ years of progressive experience in working on AWS services.</li><li>Previous experience as a data engineer or in a similar role.</li><li>Technical expertise with data models, data scraping, data cleansing, and segmentation techniques.</li><li>Knowledge and understanding of Amazon Web Services such as AWS Glue (Crawler, Job, Database, Workflow), AWS S3, AWS App flow, AWS Athena, AWS Lambda, etc.</li><li>Knowledge and experience in connecting with multiple data sources using different AWS Services or APIs or connection protocols such as ODBC, JDBC, etc.</li><li>Knowledge and experience of Python and PySpark.</li><li>Knowledge and experience in SQL and SparkSQL queries.</li><li>Knowledge of MS Excel and ability to build various views using pivot tables.</li><li>Great numerical, statistical, and analytical skills.</li><li>Data engineering certification will be a plus.</li><li>Interest in and experience with leveraging AI for data engineering is a plus</li><li>Knowledge and experience on Terraform will be a plus.</li></ul>Responsibilities:<ul><li>Extract data from multiple sources (Cloud/On-Prem) and ingest it into a data lake (AWS S3) through different AWS Services or APIs or connection protocols such as ODBC, JDBC, etc.</li><li>Cleanse, transform, and maintain data quality in data lakes and data warehouses.</li><li>Build and maintain data lakes, data warehouses, and data marts on AWS as per the business requirements.</li><li>Develop and manage data catalogs.</li><li>Build data pipelines and workflows to ingest raw data and transform/clean data into data lakes and data warehouses respectively using AWS Glue.</li><li>Conduct complex data analysis and report on results.</li><li>Explore and implement methods to enhance data quality, reliability, and governance</li><li>Evaluate business needs and objectives.</li><li>Interpret trends and patterns.</li></ul>Other Details<ul><li>Work Days: Monday-Friday</li><li>Timings: 11am-12am (Any 9 hours)</li><li>Office Location: Off to Shahrah-e-Faisal, PECHS, Karachi</li></ul>Job Type: Full-timePay: Rs200,000.00 - Rs300,000.00 per monthApplication Question(s):<ul><li>What is your expected salary? </li></ul>Education:<ul><li>Bachelor's (Required)</li></ul>Experience:<ul><li>data engineer: 3 years (Required)</li><li>AWS services (AWS Glue): 3 years (Required)</li><li> Python &amp; PySpark: 2 years (Required)</li><li>SQL &amp; SparkSQL: 2 years (Required)</li></ul>Location:<ul><li>Karachi (Required)</li></ul>Work Location: In person <div id='job-id'>Job Id: EmFv+mo24o31rIWiRZtNgUCkCYjiacb0uKfLRiMo58htX1rEAY78oGewqfDo0f9GXq5yzewBzAcVBrCYPxvZOgVYr+Jlky+WMFQL8N7B0XBXQoM=</div>

Systems Limited

<div>The candidate will be responsible for designing, building, and managing data infrastructure and pipelines to support analytics and machine learning initiatives. This role involves working closely with data scientists, analysts, and other teams to ensure data integrity, optimize data processing, and create robust data solutions 


Responsibilities:
<ul>
<li>Design, develop, and optimize data pipelines and workflows to gather, clean, and process large datasets.</li>
<li>Build scalable and reliable data models that support analytics and reporting needs.</li>
<li>Develop and maintain ETL processes to collect, store, and retrieve data efficiently.</li>
<li>Collaborate with data scientists and analysts to define and implement data requirements.</li>
<li>Implement data quality checks and monitoring processes to ensure data integrity.</li>
<li>Maintain and optimize data infrastructure, ensuring high availability and performance.</li>
<li>Integrate data from various sources and manage data storage solutions in cloud and on-premise environments.</li>
<li>Document data architecture, pipelines, and ETL processes.</li></ul> 


Requirements:
<ul>
<li>Bachelor&rsquo;s degree in Computer Science, Data Science, Engineering, or a related field.</li>
<li>Proven experience as a Data Engineer or similar role.</li>
<li>Proficiency in SQL, Python, and ETL tools.</li>
<li>Experience with data storage systems such as SQL databases, data lakes, and warehouses.</li>
<li>Strong knowledge of cloud platforms like AWS, Azure, or GCP.</li>
<li>Familiarity with big data technologies (e.g., Hadoop, Spark).</li>
<li>Knowledge of data modeling, data architecture, and data warehousing</li></ul></div> <div id='job-id'>Job Id: JJ/X8a3YU6IcePKCLZqlUwxeouggJscwiqAJWBGqoVfaZW/7wmf3sfYqSQa3UQv6HsjmsN76jlsv6Vfw5w/FEyDx4briLZ17V4zig/ncj9CyC0ERQ22X+b0jXzGOarRBu9jNK2cy+0YLk4clL31XrfLr8IaAQaf4B2wR16r5XYriiWZU3vfLYG9+U9btQnpuJIqG</div>

Pakistan Single Window

<div><ul><li>Develop and implement data pipelines that extract, load and transform data from various sources: This includes using ELT tools and technologies to clean, transform, and integrate data from differentsystems using Oracle Data Integrator.</li>
<li>Design and develop data models that store data in a way that is efficient and scalable: This includesusing data modelling techniques to create data structures that meet the needs of the business.</li>
<li>Work with stakeholders to understand their data needs and develop solutions that meet thoseneeds: This includes communicating with stakeholders about data requirements, data quality, anddata security.</li>
<li>Stay up-to-date on the latest data technologies and trends: This includes learning about new datatools and technologies, as well as new ways to use data to solve business problems.</li>
<li>Conducting data analysis</li>
<li>Developing data visualizations</li>
<li>Integrating data with other applications</li>
<li>Troubleshooting data problems</li>
<li>Writing data documentation</li>
</ul>Requirements<ul>
<li>Bachelor's degree in computer science, or a related field (preferred)</li>
<li>Minimum 0-1 years of experience in the relevant field.</li>
<li>Proven experience in ETL/ELT, Oracle Data Integrator (ODI) is preferred.</li>
<li>Strong analytical thinking and problem-solving capabilities</li>
<li>Effective communication and interpersonal skills</li>
<li>Strong SQL queries, data modelling concepts are mandatory</li>
</ul>Benefits<ul>
<li>Competitive salary</li>
<li>Fuel Card</li>
<li>Health benefits</li>
<li>Professional development opportunities</li>
<li>Inclusive work culture &amp; much more</li></ul></div> <div id='job-id'>Job Id: tObmcXzT97ltXhgH5J8ssa5FceEBzVzwH7EQl5LWdDizDwYRkJNTTl8TZhHGwnUOhmXQUwHQ1DXBjrMyn8gmITaFow==</div>

Data Engineer - I

Pakistan Single Window (PSW)

<div>
 <ul>
 <li>
 Develop and implement data pipelines that extract, load and transform data from various sources: This includes using ELT tools and technologies to clean, transform, and integrate data from differentsystems using Oracle Data Integrator
 </li>
 <li>
 Design and develop data models that store data in a way that is efficient and scalable: This includesusing data modelling techniques to create data structures that meet the needs of the business
 </li>
 <li>
 Work with stakeholders to understand their data needs and develop solutions that meet thoseneeds: This includes communicating with stakeholders about data requirements, data quality, anddata security
 </li>
 <li>
 Stay up-to-date on the latest data technologies and trends: This includes learning about new datatools and technologies, as well as new ways to use data to solve business problems
 </li>
 <li>
 Conducting data analysis
 </li>
 <li>
 Developing data visualizations
 </li>
 <li>
 Integrating data with other applications
 </li>
 <li>
 Troubleshooting data problems
 </li>
 <li>
 Writing data documentation
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 Bachelor's degree in computer science, or a related field (preferred)
 </li>
 <li>
 Minimum 0-1 years of experience in the relevant field
 </li>
 <li>
 Proven experience in ETL/ELT, Oracle Data Integrator (ODI) is preferred
 </li>
 <li>
 Strong analytical thinking and problem-solving capabilities
 </li>
 <li>
 Effective communication and interpersonal skills
 </li>
 <li>
 Strong SQL queries, data modelling concepts are mandatory
 
 
 </li>
 </ul>
 
 Benefits
 
 
 
 <ul>
 <li>
 Competitive salary
 </li>
 <li>
 Fuel Card
 </li>
 <li>
 Health benefits
 </li>
 <li>
 Professional development opportunities
 </li>
 <li>
 Inclusive work culture &amp; much more
 </li>
 </ul>
</div>
 <div id='job-id'>Job Id: H/eQJMl2xSla+asvpSE/PzK0i8ZC8UYAUEzTjXND9LmnPX5Si1+nNKLmne7Fa66/Nu6BOxaWHc+xaKZDxL+xfIDZBifiMf8mCA==</div>

Inqline

Job Title: Backend Engineer (Python, LLM &amp; AI Agents, Big Data)Location: Karachi, Pakistan Job Type: Full-TimeAbout the Role:We are looking for a Backend Engineer with 2-3 years of experience in Python development, specializing in LLMs (Large Language Models), AI Agents, and Big Data handling. The ideal candidate should have hands-on experience working with LangGraph and AI-driven workflows. You will play a crucial role in designing and optimizing scalable backend systems that integrate AI models for automation and intelligent decision-making.Key Responsibilities:<ul><li>Develop and maintain backend services using Python with a focus on AI Agents, LLM-based applications, and LangGraph.</li><li>Build and optimize AI-driven workflows using LangGraph for reasoning and decision-making automation.</li><li>Design and implement scalable APIs and microservices for AI applications.</li><li>Work with Big Data processing frameworks to efficiently manage and process large datasets.</li><li>Develop data pipelines and integrate AI models into production environments.</li><li>Ensure system scalability, reliability, and performance in AI-powered applications.</li><li>Deploy AI-driven solutions on cloud platforms (AWS, GCP, or Azure).</li><li>Collaborate with ML engineers, data scientists, and frontend developers to build intelligent automation tools.</li><li>Write clean, maintainable, and well-documented code following best practices.</li></ul>Requirements:<ul><li>2-3 years of experience in backend development using Python (Django, FastAPI, Flask, etc.).</li><li>Strong experience with Large Language Models (LLMs) and AI-powered applications.</li><li>Hands-on experience with LangGraph for AI workflow orchestration.</li><li>Experience working with AI Agents (LangChain, OpenAI APIs, AutoGPT, etc.).</li><li>Knowledge of Big Data handling &ndash; experience with Apache Spark, Dask, Kafka, or similar is a plus.</li><li>Expertise in building APIs (RESTful, GraphQL) and microservices architecture.</li><li>Familiarity with databases (SQL and NoSQL &ndash; PostgreSQL, MongoDB, etc.).</li><li>Experience with cloud computing (AWS, GCP, Azure) for AI deployments.</li><li>Understanding of containerization (Docker, Kubernetes) and CI/CD pipelines.</li><li>Strong problem-solving skills and ability to work in a fast-paced environment.</li></ul>Nice to Have:<ul><li>Experience with vector databases (e.g., Pinecone, Milvus, FAISS, Weaviate).</li><li>Exposure to NLP techniques and fine-tuning LLMs.</li><li>Experience with event-driven architectures and real-time data processing.</li></ul>Job Type: Full-timeApplication Question(s):<ul><li>How much experience do you have in Large Language Models (LLMs) and AI-powered applications?</li></ul>Education:<ul><li>Bachelor's (Required)</li></ul>Experience:<ul><li>Backend development Python (Django, FastAPI, Flask, etc.).: 3 years (Required)</li></ul>Language:<ul><li>English (Preferred)</li></ul>Work Location: In personApplication Deadline: 30/08/2025 <div id='job-id'>Job Id: tzi16up58GVH/+SuJ0Vb6G5V6G3ci9AJfa+uC5U63tEZXsZEHbmDPXwGz6OSJIH5QYTfA604frAWddGvZKPmH/xu1nV1dHI3/B5EDjeFcIfDbCsydk00fC2VAR3crD+46C26vuqZiRt5pGMGBp5VKCBjr48=</div>

Backend Engineer (Python, LLM & AI Agents, Big Data)

Job Title: Backend Engineer (Python, LLM &amp; AI Agents, Big Data)Location: Karachi, Pakistan Job Type: Full-TimeAbout the Role:We are looking for a Backend Engineer with 2-3 years of experience in Python development, specializing in LLMs (Large Language Models), AI Agents, and Big Data handling. The ideal candidate should have hands-on experience working with LangGraph and AI-driven workflows. You will play a crucial role in designing and optimizing scalable backend systems that integrate AI models for automation and intelligent decision-making.Key Responsibilities:<ul><li>Develop and maintain backend services using Python with a focus on AI Agents, LLM-based applications, and LangGraph.</li><li>Build and optimize AI-driven workflows using LangGraph for reasoning and decision-making automation.</li><li>Design and implement scalable APIs and microservices for AI applications.</li><li>Work with Big Data processing frameworks to efficiently manage and process large datasets.</li><li>Develop data pipelines and integrate AI models into production environments.</li><li>Ensure system scalability, reliability, and performance in AI-powered applications.</li><li>Deploy AI-driven solutions on cloud platforms (AWS, GCP, or Azure).</li><li>Collaborate with ML engineers, data scientists, and frontend developers to build intelligent automation tools.</li><li>Write clean, maintainable, and well-documented code following best practices.</li></ul>Requirements:<ul><li>2-3 years of experience in backend development using Python (Django, FastAPI, Flask, etc.).</li><li>Strong experience with Large Language Models (LLMs) and AI-powered applications.</li><li>Hands-on experience with LangGraph for AI workflow orchestration.</li><li>Experience working with AI Agents (LangChain, OpenAI APIs, AutoGPT, etc.).</li><li>Knowledge of Big Data handling &ndash; experience with Apache Spark, Dask, Kafka, or similar is a plus.</li><li>Expertise in building APIs (RESTful, GraphQL) and microservices architecture.</li><li>Familiarity with databases (SQL and NoSQL &ndash; PostgreSQL, MongoDB, etc.).</li><li>Experience with cloud computing (AWS, GCP, Azure) for AI deployments.</li><li>Understanding of containerization (Docker, Kubernetes) and CI/CD pipelines.</li><li>Strong problem-solving skills and ability to work in a fast-paced environment.</li></ul>Nice to Have:<ul><li>Experience with vector databases (e.g., Pinecone, Milvus, FAISS, Weaviate).</li><li>Exposure to NLP techniques and fine-tuning LLMs.</li><li>Experience with event-driven architectures and real-time data processing.</li></ul>Job Type: Full-timeWork Location: In personApplication Deadline: 30/08/2025 <div id='job-id'>Job Id: hlteNi57BIfj6mfpo8f5rzyt9DsGPbuHVKlAw7u06HI7JYhjvFiDNc7K2Bqo5AuvRjfX1XQHtDvt4YuYcU8LffbKiqf5y85WCXgQL/a4RtnE45QlxvwVyg==</div>

Front-End Engineer

Explore 606+ Data engineer in Karachi this August. Find roles across top companies and apply now to boost your career.

606 data engineer jobs IN Karachi

Data Engineer

Data Engineer

Data Engineer

Data Engineer - I

Data Engineer - I

Backend Engineer (Python, LLM & AI Agents, Big Data)

Front-End Engineer