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data infrastructure 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>
JqWm3YdfU4</div>

Data Infrastructure Engineer

<div>
 
 About MonetizeMore
 
 
 
 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.
 
 
 Role Overview
 
 
 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.
 
 
 Key Responsibilities
 
 
 <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>
 
 Qualifications
 
 
 
 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>
 Why MonetizeMore
 
 
 <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>
 Powered by JazzHR
 
 
 JqWm3YdfU4
</div>

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>
BJoI7cAFtW</div>

Cloudera Data Engineer

Pivotize Consulting

Position Overview:We are seeking a experienced Data Engineer to join the team. As a Data Engineer, you will play a crucial role in designing, implementing, and maintaining the infrastructure necessary for our data initiatives, ensuring scalability, reliability, and efficiency. You will collaborate with cross-functional teams to develop robust data pipelines, optimize data workflows, and ensure the reliability and scalability of our data systems.Key Responsibilities:&middot; Develop and maintain ETL (Extract, Transform, Load) processes to integrate data from disparate sources into SQL Server databases.&middot; Write complex SQL queries, stored procedures, and optimize database performance for large-scale datasets.&middot; Develop and implement efficient data models to support analytical and reporting requirements.&middot; Design, implement, and optimize database structures, stored procedures, queries, and views for performance and scalability.&middot; Design and implement database schemas, tables, indexes, Triggers and constraints to ensure efficient storage and retrieval of data.&middot; Perform database debugging, troubleshooting, and bug fixing to identify and resolve issues related to data integrity, performance, and functionality.&middot; Troubleshoot and resolve database issues, including performance bottlenecks, data corruption, and system errors.&middot; Collaborate with cross-functional teams, including software developers, analysts, and business stakeholders, to gather requirements and implement database solutions.&middot; Implement security measures and access controls to protect sensitive data stored in SQL Server databases, in compliance with regulatory requirements and industry best practices.Requirements:&middot; Degree in Computer Science, Engineering, or a related field.&middot; Strong expertise in Microsoft SQL Server (T-SQL, indexing, query tuning, performance optimization).&middot; 5+ years of experience as a Data Engineer or similar role, with a strong background in data warehousing, ETL, and database technologies.&middot; Can demonstrate experience working with large and complex data sets as well as experience analyzing volumes of data.&middot; Experience with monitoring and optimizing database performance in production environments.&middot; Familiarity with cloud-based data architecture and pipelines.&middot; Strong problem-solving, analytical, and debugging skills.&middot; Ability to analyze complex data sets and design scalable data solutions.&middot; Excellent communication and collaboration skills.Job Type: Full-timeApplication Question(s):<ul><li>what is your current salary?</li><li>what is your expected salary?</li><li>What is your notice period?</li><li>Since it's an onsite role, would you be able to commute to Bahria Complex 1, M.T. Khan Road?</li></ul>Work Location: In person

Data Engineer

Cubitrek Private Limited

Job Title: DevOps EngineerJob Type: Full-time Location: Karachi, PakistanPosition Overview:We are seeking an experienced and highly skilled DevOps Engineer to join our growing technology team. In this role, you will be responsible for automating, deploying, and managing scalable cloud infrastructure to ensure seamless software delivery for our US and European clients.The ideal candidate will have deep expertise in cloud platforms, automation, CI/CD, and containerization, along with hands-on experience collaborating with geographically distributed teams.Key Responsibilities:<ul><li>Design, build, and maintain scalable, secure, and resilient cloud infrastructure.</li><li>Automate the deployment, monitoring, and management of infrastructure and services.</li><li>Develop and manage CI/CD pipelines to support continuous integration and delivery.</li><li>Collaborate with development, QA, and operations teams across multiple locations to ensure smooth integration of infrastructure solutions.</li><li>Manage AWS, Azure, or Google Cloud environments supporting SaaS-based applications.</li><li>Monitor system performance, security, and availability to maintain high uptime and reliability.</li><li>Troubleshoot and resolve infrastructure and deployment issues in real-time.</li><li>Implement and enforce infrastructure security standards and best practices.</li><li>Continuously optimize automation workflows to enhance efficiency and scalability.</li></ul>Requirements:<ul><li>Bachelor&rsquo;s degree in Computer Science, Information Technology, or a related field.</li><li>5+ years of proven experience as a DevOps Engineer in a cloud-based environment.</li><li>Strong hands-on experience with AWS, Azure, or Google Cloud (AWS preferred).</li><li>Proficiency in scripting languages such as Python, Bash, or similar for automation.</li><li>Expertise</li></ul>Job Type: Full-timeApplication Question(s):<ul><li>Expected Salary?</li><li>Current Salary?</li></ul>Experience:<ul><li>DevOps Engineer in a cloud-based environment: 5 years (Required)</li><li>AWS, Azure, or Google Cloud (AWS preferred).: 2 years (Required)</li></ul>License/Certification:<ul><li>AWS Certified DevOps Professional (Required)</li><li>AWS Certified Solutions Architect Professional (Required)</li></ul>Work Location: In person

DevOps Engineer

Horizon Tech

We are looking for a skilled Data Engineer to design, build, and optimise our modern data platform on the cloud. You'll be responsible for architecting scalable, secure, and automated data pipelines and enabling data-driven applications and AI/ML solutions across the organisation.This is an exciting opportunity to shape the data foundation of a growing business, leveraging a modern AWS and engineering ecosystem.Must Haves:<ul><li>3-5 years of experience in data engineering or a similar role working with large-scale, distributed data systems.</li><li>Strong proficiency in Python, SQL, and data modelling for analytical and transactional systems.</li><li>Deep understanding of modern AWS data and analytics services (e.g., S3, Glue, Lambda, Redshift, or equivalents).</li><li>Experience with Apache Spark / PySpark for batch and stream processing.</li><li>Solid knowledge of data governance, security, and compliance frameworks.</li><li>Familiarity with Infrastructure as Code (Terraform, CloudFormation) and CI/CD practices.</li><li>Understanding of AI/ML data workflows, including feature engineering and data preparation for LLMs or predictive models.</li><li>Strong problem-solving, collaboration, and communication skills.</li></ul>Preferred (Nice to Have)<ul><li>Knowledge of containerization (Docker, ECS, EKS) or serverless data architectures.</li><li>Understanding of AI/ML and NLP technologies, including integration of LLMs, automation frameworks, and RPA tools for intelligent data workflows.</li><li>Awareness of MLOps pipelines, model monitoring, and feature store management.</li></ul>Responsibilities:<ul><li>Design, build, and maintain large-scale, distributed, and event-driven data pipelines using modern AWS Data Engineering services (e.g., Glue, Lambda, Step Functions, etc.).</li><li>Develop ETL/ELT workflows integrating structured and unstructured data into Snowflake, Redshift, and S3-based data lakes.</li><li>Architect and optimise data ingestion, transformation, and storage layers for structured and unstructured data in a data lake or warehouse environment.</li><li>Implement and enforce data security, governance, and access controlincluding encryption, IAM, auditing, and compliance with best practices.</li><li>Develop and maintain metadata management, data lineage, and cataloguing frameworks to ensure traceability and consistency across datasets.</li><li>Automate infrastructure provisioning using Infrastructure-as-Code (IaC) tools such as Terraform or AWS CloudFormation.</li><li>Collaborate with analytics and AI/ML teams to deliver clean, high-quality, and feature-ready data for training and inference pipelines.</li><li>Integrate observability and monitoring into data workflows to ensure reliability, performance, and cost efficiency.</li><li>Contribute to CI/CD pipelines and Git-based version control for data workflows and infrastructure changes.</li><li>Mentor junior engineers and champion engineering best practices for data quality, reliability, and scalability.</li></ul>Other Details<ul><li>Work Days: Monday-Friday (3 pm - 12 am)</li><li>Office location: Off to Shahrah-e-Faisal, PECHS, Karachi</li></ul>Job Type: Full-timePay: Rs150,000.00 - Rs250,000.00 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 engineering with large-scale data systems: 3 years (Required)</li><li>Python, SQL and modern AWS data and analytics services: 3 years (Required)</li><li>ETL/ELT workflows : 3 years (Required)</li></ul>Location:<ul><li>Karachi (Required)</li></ul>Work Location: In person

Careem

<div><div>Careem is building the Everything App for the greater Middle East &mdash; making it easy to move around, order food and groceries, manage payments, and more. Our purpose is simple: to simplify and improve people&rsquo;s lives and build an awesome organisation that inspires. 
Since 2012, Careem has enabled earnings for over 2.5 million Captains, simplified the lives of more than 70 million customers, and built a platform where the region&rsquo;s best talent and entrepreneurs thrive. We operate in 70+ cities across 10 countries, from Morocco to Pakistan.

We&rsquo;re now entering our next chapter &mdash; one powered by AI. We&rsquo;re looking for AI talent: curious problem-solvers who know how to apply AI to build tools, automate workflows, and create real impact. Whether it&rsquo;s streamlining operations, enhancing customer experience, or reimagining internal systems &mdash; we want people who can make Careem work smarter and move faster.</div><div> 

About the Role

The Infrastructure Engineer will be responsible for the administration, maintenance, and support of all Careem-managed IT systems, including systems and network infrastructure. This includes day-to-day support, incident, change, and problem management, as well as the ongoing design and implementation of infrastructure changes and enhancements.

Key Objectives and Responsibilities:
<ul>
<li>The role of Network Engineer is to deploy, support and administrate IT infrastructure services and systems, voice and data network, MPLS, DPLC &amp; wireless and multisite mesh networks. Monitor and maintain layer 1-7 and end to end support</li>
<li>Designing and implementing new network solutions and/or improving the efficiency of current networks</li>
<li>Installing, configuring and supporting network equipment including routers, switches, SASE gateways, firewalls, WAN accelerators and aggregators, wireless networks</li>
<li>Working on escalated Incidents from the IT Service Desk and ensuring that Incidents are updated daily with meaningful updates, quality and troubleshooting steps performed. Ensure that incidents are resolved within the set SLA&rsquo;s.</li>
<li>To be responsible for changes affecting the IT infrastructure and that such changes take place in a controlled and auditable manner.</li>
<li>The network engineer is also required to ensure continuous improvement and will be responsible for infrastructure projects.</li>
<li>Keeping up to date with latest technology changes and industry practices</li>
<li>Documentation of CAREEM network infrastructure (HW/SW inventory, network documentations, etc.) '</li>
<li>Management of incidents to ensure rapid resolution.</li>
<li>Root cause analysis. Managing incidents to ensure all avenues are explored</li>
<li>Weighing up possible solutions and associated risk.</li>
</ul>
Administration:
<ul>
<li>Monitoring and reporting on IT Infrastructure and underlying Network Services</li>
<li>Providing 24x7 second-line support and support escalation services</li>
<li>Resolution of production incidents and underlying causes</li>
<li>Accepting new systems or changes as fit for release</li>
<li>Conducting Service Reviews with internal teams and suppliers</li>
<li>Liaison with 3rd party suppliers</li>
<li>Management of incidents to ensure rapid resolution. Including:</li>
<li>Root cause analysis</li>
<li>Ensuring necessary communication is sent to relevant parties</li>
<li>Weighing up possible solutions and associated risk</li>
<li>Ensuring completion of follow up actions</li>
<li>Design/Review of all network changes</li>
<li>Tracking and resolution of single points of failure within the infrastructure</li>
<li>Assisting project streams on infrastructure changes</li>
</ul>
Communication:
<ul>
<li>Effectively communicates relevant project information to superiors.</li>
<li>Delivers engaging, informative and well-organized presentations.</li>
<li>Resolves and/or escalates issues in a timely fashion.</li>
<li>Understands how to communicate difficult/sensitive information tactfully.</li>
</ul>
Technical Knowledge:
<ul>
<li>Must have knowledge and experience of Datacenter management , Unified communication family suites, LANs, WANs, Wireless Networks, Virtualization, strong understanding TCP/IP protocol stack and network layer, Routing,Switching, MPLS networks,Firewalls, SASE networks,VPN technologies, system monitoring and management.</li>
<li>Expose to VMware ESX and vCenter 4.x and all major virtualization infrastructure solutions. Exposure to Open Source technologies including Linux and VoIP telephony systems, and strong understanding of voice infrastructures.</li>
<li>IT security tools and techniques, Good working Knowledge of Information Governance and its application within IT. Possesses general understanding in the areas of application programming, database and system design.</li>
<li>Prior Applications Integration experience; Software as a service Integration</li>
</ul>
Problem Solving: 
<ul>
<li>Combine patience, determination, and persistence to troubleshoot issues</li>
<li>Dynamic, results-oriented problem solver</li>
<li>Easily understand, investigate and solve technical problems in a details driven attitude</li>
<li>Skilled at evaluating options and generating solutions</li>
<li>Strong problem-solving and analytical skills</li>
<li>Troubleshooting equipment or situations</li>
</ul>
Qualifications:
<ul>
<li>Degree in computer science or similar discipline.</li>
<li>Desired Certifications:</li>
<li>Network + , CCNA, CCNP</li>
<li>MCSE or MCITP + AWS/Azure certified</li>
<li>Security +</li>
<li>ITIL</li>
</ul>
Desired Skills: 
Experience working within the industry is desirable:
<ul>
<li>Next Generation Firewalls</li>
<li>MDM (Mobile devices management)</li>
<li>Virtualization, VMWare, AWS , Active Directory, SSO, SASE</li>
<li>LANs, WANs, TCP/IP protocol stack, Routing</li>
<li>Managing heterogeneous network environments.</li>
</ul>
Good to have: 
<ul>
<li>Knowledge of administration and deployment of following</li>
<li>Zscaler</li>
<li>Jump Cloud</li>
<li>Sonus voice gateways</li>
<li>Genesis call center on-prem solution</li>
<li>Cisco Meraki Platform</li>
<li>Orange MPLS</li>
</ul>
Experience:
<ul>
<li>Minimum 3 years experience in similar capacity working as IT Infrastructure Engineer, Systems or network Administrator for organization with minimum 1000+ users.</li>
</ul><div>What We&rsquo;ll Provide You: 
We offer colleagues the opportunity to drive impact in the region while they learn and grow. As a full time Careem colleague, you will be able to:</div>
<ul><li>Work and learn from great minds by joining a community of inspiring colleagues.</li>
<li>Put your passion to work in a purposeful organization dedicated to creating impact in a region with a lot of untapped potential.</li>
<li>Explore new opportunities to learn and grow every day.</li>
<li>Work 4 days a week in office &amp; 1 day from home, and remotely from any country in the world for 30 days a year with unlimited vacation days per year. (If you are in an individual contributor role in tech, you will have 2 office days a week and 3 to work from home.)</li>
<li>Access to healthcare benefits and fitness reimbursements for health activities including gym, health club, and training classes.</li></ul></div></div>

IT Infrastructure Engineer

Explore 1034+ Data infrastructure engineer in Karachi this November. Find roles across top companies and apply now to boost your career.

1034 data infrastructure engineer jobs IN Karachi

Data Infrastructure Engineer

Data Infrastructure Engineer

Cloudera Data Engineer

Data Engineer

DevOps Engineer

Data Engineer

IT Infrastructure Engineer