devops engineer

software engineer

data analyst

cloud support engineer

data engineer

cloud data engineer

Techlogix

<div><div>Core Skills: 
</div><ul><li>
Data engineer with a solid technical background and banking experience in data-intensive systems (&gt;7 years) 
</li><li>
Strong experience in Big Data, Hadoop Ecosystem, Spark Streaming, Kafka, Python, SQL, Hive, NIFI, Airflow 
</li><li>
Proficient with Azure Cloud services such as Azure Data Factory (ADF), Databricks, ADLS, Azure Synapse, Logic Apps, Azure Functions. Or similar data stack knowledge within Google/AWS cloud services 
</li><li>
Proficiency in relational SQL, Graph and NoSQL databases. 
</li><li>
Proficiency in Elastic Search and Couchbase databases 
</li><li>
In-depth skills in developing and maintaining ETL/ELT data pipelines. 
</li><li>
Experience in data modelling techniques such as Kimball star schema, 3NF, vault modelling etc. 
</li><li>
Experience in workflow management tools such as Airflow, Oozie and CI/CD tools 
</li><li>
Data streaming solution in Kafka or Confluent Kafka 
</li><li>
Hands on experience in Google Big Query, Google Analytics &amp; Clickstream Data Model 
</li><li>
Reporting knowledge in Power Bl, Tableau, Qlik etc. 
</li><li>
Sound in Data Management Fundamentals and Data Architect, Modelling, Governance 
</li><li>
Strong Domain Knowledge in Banking/Finance area like understanding of the various processes, products, and services within the banking industry, core functions, regulations, and operational aspects of banking institutions. 
</li><li>
Hands on knowledge in Hadoop and Azure/AWS cloud ecosystem and ETL jobs migration 
</li><li>
Knowledge of Advance Analytics and Al tools</li></ul><div></div><h3 class="jobSectionHeader"> 
Requirements</h3><div>
Minimum BS Degree in CS, IT or Engineering 
Banking Domain Knowledge will be a Plus.</div><h3 class="jobSectionHeader"> 
Benefits</h3><div>
Competitive Salary, Medical OPD &amp; IPD, Life Insurance, EOBI</div></div>

Data Engineering Lead

Confiz

<div>We are looking for a Data Engineer with 2&ndash;3 years of experience to join our team. The ideal candidate is passionate about data engineering and eager to learn and grow while supporting the development and maintenance of modern data pipelines and analytics solutions.
Responsibilities
<ul><li>Assist in designing, building, and maintaining ETL/ELT data pipelines.</li>
<li>Support data ingestion and integration from various source systems into cloud platforms.</li>
<li>Write and optimize SQL and Python scripts for data transformation and processing.</li>
<li>Work with senior engineers to ensure data accuracy, consistency, and reliability.</li>
<li>Implement basic monitoring and logging to ensure data pipelines run smoothly.</li>
<li>Document processes, workflows, and data models.</li>
<li>Collaborate with stakeholders to understand requirements and deliver data solutions.</li>
<li>Participate in code reviews and follow best practices in data engineering.</li>
</ul>
Qualifications
<ul><li>Bachelor&rsquo;s degree in Computer Science, Information Technology, Software Engineering</li>
<li>2&ndash;3 years of experience in data engineering, data integration, or ETL development.</li>
<li>Hands-on experience with SQL and Python.</li>
<li>Basic knowledge of data modeling and ETL processes.</li>
<li>Familiarity with cloud-based data platforms (Azure, AWS, or GCP).</li>
<li>Exposure to tools like ADF, Databricks, or Microsoft Fabric (a plus).</li>
<li>Understanding of version control tools (e.g., Git).</li>
<li>Strong problem-solving skills and eagerness to learn new technologies.</li>
<li>Good communication skills and ability to work collaboratively in a team.</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) and ISO 14001:2015 (EMS) 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>

Data Engineer

Xynotech

We&rsquo;re looking for a hands-on Data Engineer to join our team and lead the development of robust data pipelines powering the IllumiFi Analytics platform. You&rsquo;ll work with cutting-edge, cloud-native tools to architect, implement, and optimize serverless data solutions on AWS.If you enjoy working with Python, PySpark, and modern data lakehouse patterns in a fast-paced environment &mdash; this is your opportunity to build impactful solutions from the ground up.What You&rsquo;ll Actually Do Here<ul><li>Design and implement scalable, serverless data pipelines using AWS services such as Glue, Lambda, Step Functions, Athena, and S3</li><li>Build and optimize ETL processes using Python/PySpark for efficient data transformations</li><li>Ingest and process structured and semi-structured data formats including JSON, Parquet, and CSV</li><li>Integrate with external APIs using REST protocols and OAuth2 authentication</li><li>Model analytical datasets with star/snowflake schemas, implement SCD Type 2, and define partitioning strategies for efficient query performance</li><li>Build and maintain a well-organized S3-based data lake structure to support analytics workloads</li><li>Apply best practices for version control, data quality, and automation using GitHub workflows</li><li>Drive technical design discussions and contribute to improving infrastructure, tooling, and data processes</li></ul>What We&rsquo;re Looking For<ul><li>2+ years of experince in Data Engineering</li></ul>Strong hands-on experience with AWS services &mdash; especially Glue, Lambda, S3, Step Functions, and Athena<ul><li>Solid command of Python/PySpark for building and managing ETL pipelines</li><li>Proven track record working with large-scale datasets and optimizing performance</li><li>Deep understanding of data modeling, transformations, and SQL for analytical use cases</li><li>Familiarity with REST APIs, OAuth2 authentication, and data integration patterns</li><li>Experience with Git, CI/CD, and workflow automation</li><li>A problem-solving mindset and a passion for scalable, efficient data engineering</li><li>Ability to work independently and collaborate across teams</li></ul>Tools &amp; Platforms<ul><li>Languages &amp; Frameworks: Python, PySpark</li><li>Cloud &amp; Tools: AWS Glue, Lambda, S3, Step Functions, Athena</li><li>Data Formats: JSON, Parquet, CSV</li><li>Modeling &amp; Querying: SQL, Star/Snowflake schemas</li><li>Version Control: Git, GitHub workflows</li></ul>Nice-to-Haves<ul><li>Experience with Apache Iceberg or Hudi for data lakehouse architectures</li><li>Knowledge of data quality frameworks like Great Expectations</li><li>Familiarity with Terraform/IaC for infrastructure automation</li><li>Background in e-commerce or analytics platforms</li><li>Exposure to performance tuning for large data workloads</li><li>Hands-on with Step Functions HTTP Task</li></ul>Job Type: Full-timeEducation:<ul><li>Bachelor's (Required)</li></ul>Experience:<ul><li>Data Engineering: 2 years (Required)</li></ul>Location:<ul><li>Karachi (Required)</li></ul>Work Location: In person

Enterprise64

<div><h3 class="jobSectionHeader">Overview 
Enterprise64 is a U.S.-based technology company that creates digital solutions for startups to Fortune 500 companies in the United States, Europe, and the United Arab Emirates. We are growing rapidly across all our global offices and have career opportunities for tech professionals who are looking to work in a fast-growing company, work in a fun environment, looking to be challenged, grow, and fast-track their careers. 
 
Job Description 
We are seeking a skilled Senior Data Engineer to design, develop, and maintain scalable, event-driven data architectures on AWS. The ideal candidate will have hands-on expertise in building data pipelines with PySpark and AWS Glue, and experience leading engineering teams to deliver high-performance data solutions. This role requires strong technical leadership, client collaboration, and a deep understanding of big data processing in cloud environments.</h3><h3 class="jobSectionHeader">
Key Responsibilities</h3><ul><li>
Architect &amp; Build event-driven data flow systems on AWS to support large-scale data extraction, transformation, and reporting.</li><li>
Develop &amp; Optimize data processing pipelines using PySpark on AWS Glue to streamline big data workflows.</li><li>
Collaborate with Clients to gather requirements, understand business needs, and translate them into actionable technical designs.</li><li>
Implement Best Practices for data governance, monitoring, testing, and performance tuning.</li><li>
Stay Updated with the latest AWS and big data technologies to continuously improve architecture and processes.</li></ul><h3 class="jobSectionHeader">
Required Qualifications</h3><ul><li>
Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Data Engineering, or related field.</li><li>
5+ years of experience in data engineering</li><li>
Strong expertise in AWS services (Glue, Lambda, S3, RDS, Athena, etc.).</li><li>
Proficiency in PySpark, Python, and SQL for large-scale data processing.</li><li>
Proven experience designing event-driven data architectures.</li><li>
Excellent communication, and client-facing skills.</li><li>
Strong problem-solving and analytical abilities.</li></ul>
Benefits<ul><li>
Talent upskilling program.</li><li>
Provident fund.</li><li>
Health insurance.</li><li>
Eligible for US H-1 Visa.</li><li>
Project-based bonus.</li><li>
Leave encashment.</li><li>
EOBI</li><li>
Maternity leaves/ Paternal WFH</li><li>
Religious holidays</li><li>
Work from home facility.</li><li>
Referral bonus.</li><li>
Paid time off.</li><li>
Transportation service.</li><li>
Loan and advance salary.</li></ul></div>

Senior Data Engineer

Systems Limited

<div>Job Summary:

We are looking for a highly skilled and proactive Data Engineers with 3+ years of hands-on experience in designing, deploying, and managing scalable cloud infrastructure, primarily on AWS. The ideal candidate will have strong proficiency in cloud-native services (such as EC2, S3, RDS, Redshift, Lambda, and EMR), infrastructure as code (CloudFormation), and modern CI/CD practices using tools like Jenkins and GitLab CI/CD. 


Job Responsibilities:
<ul>
<li>Design, deploy, and manage AWS infrastructure using services such as EC2, S3, RDS, Redshift, Lambda, and EMR.
</li>
<li>Automate cloud infrastructure provisioning using AWS CloudFormation or equivalent tools.
</li>
<li>Containerize applications and data services using Docker.
</li>
<li>Deploy and manage Kubernetes clusters (EKS, AKS, GKE), ensuring high availability and scalability.
</li>
<li>Work closely with development, operations, and security teams to align infrastructure with business needs.
</li>
<li>Provide technical guidance and support for cloud-native development and DevOps practices.</li></ul> 

Job Requirements:
<ul>
<li>Proficiency in one or more major cloud providers with hands-on experience of 5+ years 
o AWS &ndash; EC2, S3, RDS, Redshift, Lambda, EMR, CloudFormation, EKS, Glue. 
o Experience with CI/CD Pipelines: Jenkins, GitLab CI/CD</li>
<li>Understanding of containerized environments: 
o Docker &ndash; Containerization of data services and apps 
o Kubernetes &ndash; Deployment and orchestration (EKS, AKS, GKE)</li>
<li>Security &amp; Governance 
o IAM &amp; Role-based access control (RBAC) 
o Key Management Services (KMS)</li></ul></div>

Managing Consultant Data Engineering

Mac Care

Job SummaryWe are seeking a highly skilled Cloud Engineer/Administrator with expertise in Amazon Web Services (AWS) to manage, support, and optimize our cloud infrastructure. The role requires strong technical skills in AWS resource management, secure file transfers, automation scripting, and healthcare technology compliance. The ideal candidate will bring a minimum of five years of hands-on AWS experience, with the ability to ensure high availability, security, and compliance of all systems and workflows.Key ResponsibilitiesAWS Cloud Administration<ul><li>Design, deploy, and manage AWS resources including EC2, S3, VPC, IAM, Security Groups, and CloudWatch.</li><li>Monitor system performance, optimize resource utilization, and maintain high availability.</li></ul>Secure File Transfers (SFTP)<ul><li>Set up and manage SFTP accounts; configure push/pull relationships with internal and external partners.</li><li>Own and manage the schedule of transmissions, ensuring timely and accurate file delivery.</li><li>Troubleshoot and resolve file transmission issues at server, network, and protocol levels.</li></ul>Automation &amp; Scripting<ul><li>Develop and maintain scripts (Bash, Python, PowerShell) to automate routine processes and system monitoring.</li><li>Implement infrastructure-as-code (IaC) principles where applicable.</li></ul>Healthcare Technology &amp; Compliance<ul><li>Ensure compliance with HIPAA and healthcare data security standards across cloud and data transmission activities.</li><li>Support patient data integrity and secure workflows across systems.</li></ul>Application &amp; Service Management<ul><li>Restart and maintain critical application services, databases, and data pipelines as needed.</li><li>Perform root-cause analysis and quickly resolve service disruptions.</li></ul>Candidate Qualifications<ul><li>Bachelor&rsquo;s degree in Computer Science, Information Technology, or a related field (preferred).</li><li>Relevant AWS certifications (e.g., AWS Certified Solutions Architect, SysOps Administrator) highly desirable.</li></ul>Candidate Experience<ul><li>Minimum 5 years of hands-on experience in AWS cloud engineering/administration.</li><li>Strong knowledge of AWS services (EC2, S3, VPC, IAM, CloudWatch) and networking fundamentals.</li><li>Proven experience with SFTP setup, configuration, and troubleshooting push/pull relationships.</li><li>Proficiency in scripting languages (Bash, Python, PowerShell, or similar) for automation.</li><li>Solid understanding of server administration, networking, and security protocols.</li><li>Familiarity with healthcare technology environments, HIPAA compliance, and patient data handling.</li><li>Strong problem-solving, troubleshooting, and communication skills to work with technical and non-technical stakeholders.</li></ul>Job Type: Full-timeWork Location: In person

AWS Administrator

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-timeEducation:<ul><li>Bachelor's (Required)</li></ul>Experience:<ul><li>Backend development Python (Django, FastAPI, Flask, etc.): 2 years (Required)</li></ul>Language:<ul><li>English (Required)</li></ul>Work Location: In person

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

Explore 1068+ Cloud data engineer in Karachi this October. Find roles across top companies and apply now to boost your career.

1068 cloud data engineer jobs IN Karachi

Data Engineering Lead

Data Engineer

Data Engineer

Senior Data Engineer

Managing Consultant Data Engineering

AWS Administrator

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