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machine learning engineer

data scientist, tech Jobs in Lahore Pakistan

data scientist, tech

database engineer (migration) Jobs in Lahore Pakistan

database engineer (migration)

data engineer

Datamatics Global Services Ltd

<div><h2 class="jobSectionHeader">Cloudera Data Engineer</h2>
Location: Remote (UAE Time Zone) 
Experience: 5+ Years 
Availability: Immediate joiners or candidates who can start within 30 days preferred<h3 class="jobSectionHeader">
Role Overview</h3>
We are seeking an experienced Cloudera Data Engineer to design, build, and maintain data pipelines and processing frameworks across Cloudera&rsquo;s ecosystem. The ideal candidate will have strong expertise in Spark, Hive, Impala, NiFi, and Oozie, and proven experience optimizing large-scale data pipelines for performance and reliability.<h3 class="jobSectionHeader">
Key Responsibilities</h3><ul><li>
Design, build, and maintain ETL/ELT pipelines using Spark, Hive, Impala, NiFi, and Oozie.</li><li>
Optimize data pipelines for performance, reliability, and cost efficiency across batch and streaming workloads.</li><li>
Develop automation scripts and reusable frameworks for data ingestion, transformation, and cleansing.</li><li>
Collaborate with Cloudera Administrators to tune performance and manage cluster resources efficiently.</li><li>
Troubleshoot and resolve data pipeline failures, performance bottlenecks, and data quality issues.</li><li>
Monitor cluster utilization, job performance, and data throughput using Cloudera Manager.</li><li>
Work with DevOps/Infrastructure teams to define and maintain CI/CD pipelines, automation for deployments, and monitoring of data jobs.</li><li>
Participate in incident management, root cause analysis, and preventive maintenance.</li><li>
Ensure pipelines meet SLAs, data quality, and latency requirements for analytics workloads.</li></ul><h3 class="jobSectionHeader">
Requirements</h3><ul><li>
5+ years of experience as a Data Engineer in a Cloudera-based environment.</li><li>
Strong hands-on experience with Spark, Hive, Impala, NiFi, and Oozie.</li><li>
Solid understanding of ETL design, performance optimization, and data governance principles.</li><li>
Experience with Linux/Unix scripting and CI/CD integration.</li><li>
Excellent troubleshooting and communication skills.</li></ul>
IppsLo883Y</div>

Cloudera Data Engineer

InfoTech Logic

<ul><li>Job Title: Senior Data Engineer / Data Solutions Specialist</li><li>Location: Johar Town</li><li>Experience Required: 5+ Years</li><li>Office Timing: 3 pm - 12 am</li></ul>About the Role:We are looking for a highly skilled Senior Data Engineer to architect, build, and optimize our data infrastructure. You will be responsible for designing scalable data pipelines, maintaining enterprise-grade databases, ensuring data reliability, and enabling advanced analytics across the organization. Your work will serve as the technical backbone for data-driven decision-making.Key Responsibilities<ul><li>Architect, design, and maintain scalable relational and distributed databases (MS SQL Server, MySQL, PostgreSQL).</li><li>Build and optimize ETL/ELT pipelines for structured and unstructured data.</li><li>Develop and manage data warehouses and data lake solutions for analytics workloads.</li><li>Implement data ingestion frameworks and automate data workflows using SSIS, Azure Data Factory, or similar tools.</li><li>Write robust, optimized SQL queries, scripts, and stored procedures for performance-sensitive workloads.</li><li>Collaborate with Data Analysts and Business Teams to deliver analytical data models, marts, and datasets.</li><li>Implement data quality checks, governance practices, and ensure data integrity and security.</li><li>Monitor system performance and perform troubleshooting, performance tuning, and capacity planning.</li><li>Maintain documentation and enforce best practices in data architecture and DevOps/data engineering cycles.</li><li>Mentor junior team members and contribute to building a scalable data engineering culture.</li></ul>Required Qualifications<ul><li>Bachelor&rsquo;s or Master&rsquo;s in Computer Science, Data Engineering, Information Systems, or a related field.</li><li>5+ years of proven experience as a Data Engineer, Database Developer, or similar role.</li><li>Strong command of SQL and RDBMS tuning, indexing, partitioning, and optimization.</li><li>Hands-on experience with ETL tools (SSIS, Azure Data Factory, Informatica, etc.).</li><li>Experience with data warehousing concepts, dimensional modeling, and OLAP systems.</li><li>Familiarity with cloud platforms (Azure preferred; AWS/GCP is a plus).</li><li>Good understanding of distributed data systems, streaming (Kafka/Spark) is a plus.</li><li>Experience collaborating with BI teams for KPI dashboards and analytics.</li><li>Strong analytical mindset, communication, and problem-solving skills</li></ul>Job Type: Full-timeWork Location: In person

Senior Data Engineer

Algo

<div>Position: Data Engineer (Azure Platform)

Location: Lahore, Pakistan (on-site)<div> 
Job Description 
<ul><li>Design and develop scalable data warehouse solutions to support analytics and reporting.</li><li>Build and maintain efficient Azure Data Pipelines using Azure Data Factory for ETL processes.</li><li>Develop and optimize Spark jobs using Databricks and PySpark for large-scale data transformations.</li><li>Coordinate with onsite and offshore teams to ensure seamless project execution and business continuity.</li><li>Develop and maintain dashboards and reports using BI tools such as Power BI, Tableau, MicroStrategy, or Qlik.</li><li>Manage the presentation and access layers to ensure secure and efficient data access.</li><li>Work directly with clients and stakeholders to understand requirements and deliver actionable data solutions</li></ul></div> 
Qualifications
<ul><li>BS in Computer Science or a related field with 4-5 years of experience in BI and data management projects.</li><li>Strong expertise in database and data warehouse design, support, and maintenance.</li><li>Proficiency in writing complex SQL and SparkSQL queries.</li><li>Experience in Python and its data-related frameworks.</li><li>Hands-on experience with Databricks and PySpark for data engineering tasks.</li><li>Strong proficiency in Power BI; experience with other BI tools is a plus.</li><li>Experience with Azure Data Platform (Data Factory, Azure SQL, Synapse, Data Lake) is preferred.</li><li>Ability to generate and maintain comprehensive technical documentation.</li><li>Excellent communication and interpersonal skills.</li><li>Strong analytical and problem-solving abilities.</li><li>Willingness to learn and adapt to new technologies and project requirements.</li><li>Experience in data analysis is a plus.</li><li>Ability to work independently and handle critical situations confidently.</li><li>A collaborative, team-oriented mindset.</li></ul></div>

Data Engineer (Azure Platform)

Devsinc

<div>
 Devsinc is seeking a talented
 
 Associate Data Engineer
 
 to join our growing data team. In this role, you will design and build scalable data pipelines, work with modern cloud platforms, and lay the foundation for analytics that drive critical business decisions. From day one, you'll learn from senior engineers, work with a modern cloud stack, and see your contributions make a tangible impact.
 
 
 
 Responsibilities:
 
 
 
 <ul>
 <li>
 Design, develop, and maintain automated ELT pipelines for structured and unstructured data.
 </li>
 <li>
 Work with cloud platforms (AWS, GCP, or Azure) to build scalable, secure, and cost-effective data solutions.
 </li>
 <li>
 Model and transform data to support analytics and reporting needs.
 </li>
 <li>
 Implement automated testing, monitoring, and alerting to ensure high-quality, reliable data.
 </li>
 <li>
 Collaborate with cross-functional teams to understand data requirements and deliver solutions.
 </li>
 <li>
 Use version control and CI/CD practices to streamline development and deployment.
 </li>
 <li>
 Stay up to date with modern data tools, frameworks, and best practices
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 Bachelor's degree in Computer Science, Engineering, or a related field
 </li>
 <li>
 6 months to 1 year of relevant experience (freelancing, or full-time)
 </li>
 <li>
 Strong knowledge of Python and SQL for data processing and transformation.
 </li>
 <li>
 Hands-on experience with at least one major cloud platform (AWS, Azure, or GCP) and exposure to data services such as Glue, BigQuery, Data Factory, or Redshift.
 </li>
 <li>
 Familiarity with data warehouses (Snowflake, Redshift, BigQuery, or Synapse).
 </li>
 <li>
 Basic understanding of ETL/ELT frameworks (dbt, Spark, Databricks).
 </li>
 <li>
 Knowledge of orchestration tools (Airflow, Azure Data Factory Pipelines, or AWS Glue Workflows).
 </li>
 <li>
 Proficiency in version control systems (GitHub, GitLab, or Bitbucket) and CI/CD pipelines
 </li>
 <li>
 Personal or academic projects on GitHub using modern data engineering stacks.
 </li>
 <li>
 Understanding of DevOps practices and containerization technologies
 </li>
 <li>
 Collaborative - open to knowledge-sharing and teamwork.
 </li>
 <li>
 Team Player - willing to support peers and contribute to collective success.
 </li>
 <li>
 Growth Minded - eager to learn, improve, and adapt to emerging technologies.
 </li>
 <li>
 Adaptable - flexible in dynamic, fast-paced environments.
 </li>
 <li>
 Customer-Centric - focused on delivering solutions that create real business value
 </li>
 </ul>
</div>

Associate Software Engineer - Data Engineer

MonetizeMore

<div><h3 class="jobSectionHeader">About MonetizeMore</h3>
MonetizeMore is a global leader in ad tech, helping publishers maximize their ad revenue through advanced optimization, data, and automation. Our fully remote team is distributed across the world, driven by innovation, autonomy, and measurable impact.<h3 class="jobSectionHeader">
Role Overview</h3>
We are looking for a Data Infrastructure Engineer to design, build, and maintain scalable data systems that support analytics, machine learning, and business intelligence at MonetizeMore. You will collaborate closely with data engineers, analysts, and product teams to ensure our data pipelines are reliable, efficient, and secure.
In addition to core data infrastructure responsibilities, you will occasionally work on Airflow DAGs and orchestration tasks, supporting our data workflow automation initiatives.<h3 class="jobSectionHeader">
Key Responsibilities</h3><ul><li>
Design, implement, and maintain scalable, high-performance data infrastructure.</li><li>
Manage the data pipelines using Apache Airflow for orchestration and scheduling.</li><li>
Develop and deploy data services and tools using Kubernetes and containerized environments.</li><li>
Leverage AWS services (e.g., S3, Lambda, Athena, ECS/EKS, Glue) for data storage, processing, and orchestration.</li><li>
Ensure reliability, performance, and cost efficiency of data systems.</li><li>
Collaborate with cross-functional teams to support data-driven initiatives and ad tech systems.</li><li>
Implement monitoring, logging, and alerting for all critical data infrastructure components.</li><li>
Champion best practices in data security, governance, and DevOps for data workflows.</li></ul><h3 class="jobSectionHeader">
Qualifications</h3>
Required:<ul><li>
1-2 years of experience in data infrastructure roles.</li><li>
Strong proficiency with Python and SQL.</li><li>
Solid understanding of AWS data and compute services (S3, Athena, ECS/EKS, etc.).</li><li>
Experience in CI/CD, infrastructure-as-code (Terraform, CloudFormation, or similar).</li><li>
Experience with containerization (Docker).</li><li>
Strong problem-solving and debugging skills.</li><li>
Experience with transactional database maintenance. Preferred: Postgres</li></ul>
Preferred:<ul><li>
Knowledge of data warehousing tools like Athena, or BigQuery.</li><li>
Experience managing workflows with Apache Airflow.</li><li>
Hands-on experience deploying and maintaining workloads on Kubernetes.</li><li>
Familiarity with real-time data streaming (Kafka, Kinesis, etc.).</li><li>
Exposure to monitoring and observability tools (Prometheus, Grafana, ELK Stack).</li></ul><h3 class="jobSectionHeader">
Why MonetizeMore</h3><ul><li>
100% remote, flexible work environment.</li><li>
Work with cutting-edge ad tech and data systems.</li><li>
Collaborative, globally distributed team.</li><li>
Opportunities for growth and ownership.</li></ul>
dpdiW5IUw3</div>

Data Infrastructure Engineer

Mind Stream

Location: Doha, QatarProven experience with Azure DevOps and implementing CI/CD pipelines.<ul><li>Strong knowledge of Azure data services, specifically Azure Databricks and Azure Data Factory.</li><li>Proficiency in Databricks Asset Bundle for Databricks Ci/CD.</li><li>Experience with scripting and automation tools (e.g., PowerShell, Python).</li><li>Experience in implementing selective deployment for ADF data pipelines.</li><li>Understanding of containerization and orchestration tools (e.g., Docker, Kubernetes) is a plus.</li><li>Excellent problem-solving skills and ability to troubleshoot complex CI/CD issues.</li><li>Strong communication skills and ability to collaborate effectively with cross-functional teams.</li><li>Knowledge of security best practices for CI/CD pipelines and Azure environments.</li><li>Detail-oriented with a focus on delivering high-quality, reliable automation solutions.</li><li>Bachelor's degree in Computer Science, Information Technology, or related field.</li><li>Minimum of 5 years of experience in DevOps or related roles.</li></ul>Job Type: Full-timeWork Location: In person

Azure DevOps (Data) Engineer

InvoZone

Job descriptionInvoZone is a leading software development company headquartered in the US with offices in Canada, Malaysia and Pakistan. We offer a combination of consulting, outsourcing, and specialized services to a global clientele across all types of web and mobile app development projects. The company was launched by experienced and visionary IT professionals with more than 10 years of industry experience in the fraternity of software development.We take pride in our diversified team that consists of people from both local and international backgrounds working together to strive for excellence. If you think you have the technical skills to contribute to our fast-growing business, feel free to apply. We are seeking a skilled AI/ML Engineer with strong expertise in Data Science and Data Engineering to design, develop, and deploy machine learning models and data pipelines. The ideal candidate will work on extracting actionable insights from large datasets, building scalable data solutions, and contributing to AI-driven products. Key Responsibilities:<ul><li>Develop and deploy machine learning and deep learning models for business use cases.</li><li>Design, implement, and maintain ETL pipelines and large-scale data processing workflows.</li><li>Analyze structured and unstructured data to generate insights and recommendations.</li><li>Collaborate with cross-functional teams to integrate AI/ML models into production systems.</li><li>Optimize algorithms for performance, scalability, and accuracy.</li><li>Implement data governance, validation, and quality standards.</li></ul>Required Skills &amp; Expertise:<ul><li>Proficiency in Python, R, or Scala for AI/ML and data engineering tasks.</li><li>Hands-on experience with ML frameworks (TensorFlow, PyTorch, Scikit-learn).</li><li>Strong knowledge of data engineering tools: SQL, Spark, Hadoop, Airflow, or similar.</li><li>Experience with cloud platforms: AWS, GCP, or Azure.</li><li>Solid understanding of statistical modeling, predictive analytics, and data visualization.</li><li>Familiarity with deploying ML models using APIs or microservices architecture.</li><li>Experience of NLP, Computer Vision, or recommendation systems.</li><li>Experience with real-time data streaming (Kafka, Kinesis).</li><li>Familiarity with MLOps practices and CI/CD for ML pipelines.</li></ul>Job Type: Full-timeJob Type: Full-timeEducation:<ul><li>Bachelor's (Preferred)</li></ul>Experience:<ul><li>AI/ML: 1 year (Preferred)</li></ul>Location:<ul><li>Lahore (Preferred)</li></ul>Work Location: In person

AI/ML/Data Science Engineer

Explore 1021+ Data engineer in Lahore Pakistan this November. Find roles across top companies and apply now to boost your career.