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associate data architect - data lake/data streaming Jobs in Karachi Pakistan

associate data architect - data lake/data streaming

backend engineer Jobs in Karachi Pakistan

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data engineer

NextGENi - A DotZero Company

<div>
 
 Job Details
 
 
 
 <ul>
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 Role: Data Engineer
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 Location: Karachi (Onsite)
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 Type: Full-Time
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 Experience Range: 2-5 years
 
 
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 </ul>
 
 About NextGENi
 
 
 
 NextGENi (Next Generation Innovations) is transforming how regional startups build their technology teams. We help ambitious founders build and manage their offshore technology teams at twice the speed and fraction of the cost. We have built tech teams for some of the leading startups in the region including Careem, Dubizzle, and Kavak. Our mission is to create exceptional tech teams while maintaining an unparalleled culture and the highest regard for professional principles.
 
 
 
 About The Role
 
 
 
 We are looking for a Data Engineer to join our fast-paced and data-driven engineering team. In this role, the applicant will take ownership of data engineering solutions. As a client-facing professional, the selected applicant will be responsible for designing and implementing ETL pipelines and leveraging AWS services to manage and process large volumes of data efficiently.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Lead the design and implementation of ETL processes for data integration and transformation.
 </li>
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 Work extensively with AWS services including Lambda, Glue, Redshift, and QuickSight.
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 Collaborate closely with clients and stakeholders to understand their data needs and provide strategic solutions.
 </li>
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 Ensure data quality, integrity, and scalability across various data systems.
 </li>
 <li>
 Optimize and maintain data pipelines and processes to meet performance standards.
 
 
 </li>
 </ul>
 
 Key Requirements
 
 
 
 <ul>
 <li>
 Extensive experience with ETL processes and data integration.
 </li>
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 Proficiency in AWS services such as Lambda, Glue, Redshift, and QuickSight.
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 Strong communication skills with the ability to explain technical solutions.
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 Ability to work independently and manage complex data engineering projects
 
 
 </li>
 </ul>
 
 Instructions to Apply
 
 
 
 To Apply, send your resumes to talent@nextgeni.com with subject mentioning &ldquo;NGI-DE-001&rsquo;&rsquo;
 
 
 
 Download a blank applicant form
 
 
 
 Download Form
 
 
 
 Disclaimer
 
 
 
 Kindly refrain from renaming this file or altering the form&rsquo;s format, as it may result in rejection by the ATS. member at NextGENi, and you have cleared the assignment.
</div>

Data Engineer

HR Ways

About the job Data Engineer - (On-site | Karachi | PKR)Client company introduction: &#65279;The company is a growing consultancy specializing in data analytics, providing high-quality, impactful data solutions to clients based in the UK.Job Description: &#65279;*The Data Engineer *will play a pivotal role in shaping the companys data capabilities, working on projects for UK-based clients. Joining a new and dynamic team, this role offers the opportunity to implement best practices, introduce innovative tools and technologies, and contribute to tasks beyond traditional data engineering. The ideal candidate is proactive, versatile, and eager to make their own mark in a startup-like environment. You will receive mentorship from the UK-based founder, fostering professional growth and the chance to significantly impact the company's success.Key Responsibilities:Design and Implement Data Infrastructure:<ul><li>Develop, maintain, and optimize scalable data pipelines and architectures to support data analytics projects.</li><li>Implement best practices in data warehousing, ETL/ELT processes, and data integration to ensure efficient data flow.</li><li>Introduce and leverage tools and technologies that enhance data processing and storage capabilities.</li></ul>Implement Best Practices and Innovation:<ul><li>Establish data engineering standards and procedures to ensure data integrity, quality, and security.</li><li>Stay abreast of emerging technologies and industry trends, integrating innovative solutions where appropriate.</li><li>Evaluate and introduce tools (e.g., data pipeline frameworks, automation scripts) to improve workflow efficiency.</li></ul>Dynamic Role in a Startup Environment:<ul><li>Contribute to various aspects of the business, such as assisting with technical input for the company website, supporting social media initiatives, or aiding in recruitment efforts as needed.</li><li>Embrace the flexibility of a startup setting, proactively addressing challenges and seizing opportunities to add value.</li></ul>Collaboration and Team Support:<ul><li>Work closely with data analysts, project managers, and other team members to understand data requirements and deliver optimal solutions.</li><li>Participate in team meetings, providing technical insights and contributing to project planning and execution.</li><li>Mentor junior team members, sharing knowledge and fostering a collaborative learning environment.</li></ul>Client Engagement:<ul><li>Occasionally interact with UK-based clients to understand their data needs, provide updates, and ensure satisfaction with data solutions.</li><li>Translate complex technical concepts into clear, understandable language for clients and non-technical stakeholders.</li></ul>Data Quality and Continuous Improvement:<ul><li>Implement data validation and monitoring processes to maintain high data quality and reliability.</li><li>Gather feedback on data solutions and processes, identifying areas for improvement and implementing enhancements.</li><li>Track and report on data engineering metrics to monitor performance and identify optimization opportunities.</li></ul>Qualifications:<ul><li>Bachelor's degree in Computer Science, Information Systems, or a related field.</li><li>Minimum of 3 years of experience in data engineering, preferably within data analytics or consulting environments.</li><li>Proficiency in SQL and programming languages such as Python or Java.</li><li>Experience with cloud-based data services (e.g., Azure Data Factory, Azure SQL Database) and familiarity with Power BI integration.</li><li>Strong understanding of data warehousing concepts, ETL/ELT processes, and best practices in data management.</li><li>Excellent problem-solving skills and the ability to work independently in a dynamic environment.</li><li>Strong communication skills, with the ability to convey complex technical information to both technical and non-technical audiences.</li><li>A proactive mindset with a passion for innovation and continuous improvement.</li></ul>What We Offer:<ul><li>Opportunity to Make Your Mark: Join a growing team where your contributions will have a significant impact on the company's success.</li><li>Mentorship: Work closely with the UK-based founder, gaining valuable insights and advancing your professional development.</li><li>Dynamic Environment: Experience the excitement and challenges of a startup-like setting, where flexibility and innovation are highly valued.</li></ul>Client Exposure: Collaborate with UK-based clients, enhancing your international experience and expanding your professional network&#65279;Other Details:<ul><li>Experience: 3 years or above</li><li>Location: Karachi, Pakistan (on-site)</li><li>&#65279;Timings: 12:00PM - 9:00PM Summer &amp; 1:00PM - 10:00PM Winter</li><li>Working Days: Monday to Friday</li></ul>Apply at jobs@hrways.co (not com)&#65279;About HR Ways: &#65279;&#65279;&#65279;HR Ways is an Award winning Technical Recruitment Firm helping software houses and IT Product companies internationally and locally to find IT Talent. HR Ways is engaged by 300+ Employers worldwide ranging from worlds biggest SaaS Companies to most competitive Startups. We have entities in Dubai, Canada, US, UK, Pakistan, India, Saudi Arabia, Portugal, Brazil and other parts of the world. Join our WhatsApp Channel https://shorturl.at/983az to stay updated or visit www.hrways.co to know more.Job Type: Full-timeWork Location: In person

Godai Tech

About GodaitecAt Godaitec, we are a full-service technology thought partner dedicated to empowering innovation. We blend creativity, strategy, and technology to transform ideas into scalable, future-ready solutions. From Software Development and Solution Consulting to cutting-edge Data Analytics and Emerging Technologies (AI, IoT, Blockchain), we help businesses turn their data into strategic value.We are looking for a passionate Data Engineer to join our growing team. If you are driven by building robust data ecosystems and have a knack for solving complex data challenges, we want to hear from you.Role OverviewWe are seeking a skilled Data Engineer with up to 2 years of hands-on experience to build, optimize, and maintain our data infrastructure. You will play a critical role in our Data Analytics vertical, working on high-impact projects involving ETL pipelines, cloud data warehousing, and data governance. You will bridge the gap between raw data and actionable insights, ensuring our clients can make smarter, faster decisions.Key Responsibilities<ul><li>Pipeline Development: Design, build, and maintain scalable ETL/ELT pipelines using industry-standard tools (Informatica, Talend, Spark) to ingest data from various sources.</li><li>Data Modeling &amp; Architecture: Develop robust data models and architectures that support business intelligence and advanced analytics requirements.</li><li>Cloud Data Engineering: Implement and manage data solutions on cloud platforms (Databricks, Azure, AWS, or GCP).</li><li>Data Quality &amp; Governance: Establish frameworks for data quality, reliability, and governance to ensure data accuracy and compliance across the organization.</li><li>Orchestration &amp; Automation: Schedule and monitor workflows using orchestration tools like Airflow or Prefect to ensure timely data delivery.</li><li>Containerization &amp; CI/CD: Utilize Docker and Kubernetes for containerization and Jenkins for CI/CD pipelines to streamline deployment processes.</li><li>Collaboration: Work closely with Data Scientists and Analysts to prepare data for visualization and machine learning models.</li></ul>Candidate Profile &amp; Requirements1. Education &amp; Experience<ul><li>Bachelor&rsquo;s degree in computer science, Mathematics and statistics, or a related field.</li><li>Up to 2 years of proven hands-on experience in data engineering.</li><li>I must have prior experience working on Data Modeling, Data Operations, ETL pipelines, Data Quality, and Governance related projects.</li></ul>2. Technical Proficiency<ul><li>ETL &amp; Big Data: Strong proficiency in tools like Informatica or Talend. Experience with Big Data technologies such as Hadoop, Spark, and Kafka.</li><li>Languages &amp; Frameworks: Expert-level SQL and Python skills. Experience with Linux environments and PySpark for large-scale data processing.</li><li>Cloud Platforms: Hands-on experience with Databricks and major cloud providers (Azure, AWS, or GCP).</li><li>Orchestration: Proficiency in workflow management using Apache Airflow or Prefect.</li><li>Containerization &amp; CI/CD: Familiarity with Jenkins, Docker, and Kubernetes for deploying and scaling applications.</li><li>Data Visualization: Ability to integrate data with visualization tools like Tableau or Power BI, and Python libraries like Matplotlib or Seaborn.</li></ul>3. &quot;Good to Have&quot; (Bonus Skills)<ul><li>Generative AI &amp; Agentic AI: Knowledge of or interest in GenAI applications and Agentic AI workflows is a significant plus as we expand into emerging technologies.</li><li>Certifications: Any active Data Engineering certification from GCP, AWS, or Azure will be considered a strong advantage.</li></ul>Why Join Godaitec?<ul><li>Work on Emerging Tech: Get the chance to work not just on traditional data stacks but also explore AI, IoT, and Blockchain integrations.</li><li>Growth &amp; Learning: We are a learning-centric organization that supports your professional development through exposure to diverse industries (Finance, Healthcare, Retail, etc.).</li><li>Impact: Your work will directly influence the strategic decisions of global clients.</li></ul>Job Type: Full-timeEducation:<ul><li>Bachelor's (Preferred)</li></ul>Location:<ul><li>Karachi (Preferred)</li></ul>Work Location: In person

Data Engineer (Mid-Level)

Confiz

<div>We are seeking an experienced Azure Data Engineer (5+ years) with strong expertise in data warehousing on lakehouse architecture, data engineering, data quality, and governance. The ideal candidate will design and build scalable data pipelines on Microsoft Fabric, implement data quality frameworks, and operationalize governance processes using Microsoft Purview. This role combines technical delivery with data compliance, ensuring trusted and well-governed data across the organization.
Key Responsibilities
<ul><li>Design and develop batch data pipelines using Fabric Pipelines and PySpark.</li>
<li>Implement data quality rules, validation checks, and monitoring dashboards.</li>
<li>Develop data catalog, lineage, classification, and business glossary in Microsoft Purview.</li>
<li>Enforce data governance policies, standards, and best practices across Microsoft Fabric</li>
<li>Collaborate with DevOps to automate deployments using Azure DevOps.</li>
<li>Integrate data quality in CI/CD pipelines through Azure DevOps.</li>
<li>Ensure compliance with data privacy regulations (e.g., PDPL).</li>
<li>Partner with business and data stewards to improve overall data integrity and usability.</li>
</ul>
Required Skills &amp; Experience
<ul><li>5+ years of experience in data engineering, quality, and governance roles.</li>
<li>Strong hands-on experience with Azure Data Factory, Apache Spark (PySpark), and Azure Synapse/Fabric.</li>
<li>Proven expertise in Microsoft Purview for governance and catalog management.</li>
<li>Proficient in Python and SQL for data processing and validation.</li>
<li>Understanding of data quality dimensions, profiling, and cleansing techniques.</li>
<li>Strong analytical, problem-solving, and communication skills.</li>
<li>Experience with Great Expectations or similar data validation tools is a plus.</li>
</ul>
Preferred Qualifications
<ul><li>Microsoft Certified: Fabric Data Engineer Associate or equivalent certification.</li>
<li>Experience with Microsoft Fabric and AI-driven metadata or quality tools.</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), ISO 14001:2015 (EMS), ISO 45001:2018 (OHSMS) 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>

Principal Data Engineer – Data Quality & Governance

Al-Razzaq Fibres (Pvt) Limited - SAYA

Education:- Bachelor&rsquo;s degree in Computer Science/IT/TelecomExperience:- 3&ndash;5 years of hands-on experience in LAN/WAN networking, MikroTik configuration, VPN management, data center operations, power infrastructure handling, and network monitoring tools.Job Description:-<ul><li>Design, configure, and maintain LAN/WAN networks, including routing, switching, and network segmentation.</li><li>Manage, and responsible for routers, firewall rules, and advanced routing (Static Routes, OSPF, VLANs, NAT).</li><li>Monitor network performance (WAN / LAN) and ensure uptime, stability, and scalability.</li><li>Configure, manage and troubleshoot VPN technologies (IPSec, OpenVPN, L2TP, SSTP) for secure remote access and site-to-site communication. Ensure encryption standards and security compliance.</li><li>Manage day-to-day data centre operations, ensuring availability, scalability, and security of all hosted systems.</li><li>Responsible for managing and maintaining data center infrastructure, including fire, HVAC, access control and environmental monitoring systems.</li><li>Maintain proper documentation including rack layouts, cabling, and network diagrams.</li><li>Maintain and monitor power infrastructure including UPS systems, PDUs, generators, and power distribution.</li><li>Ensure redundancy and failover systems are operational for uninterrupted power supply.</li><li>Coordinate maintenance and testing of power equipment with vendors and internal teams.</li><li>Use monitoring tools (Solar Wind, Zabbix, PRTG, etc.) to track network and data centre health.</li></ul>Job Type: Full-timePay: Rs80,000.00 - Rs90,000.00 per monthWork Location: On the road

Network & Data Center Engineer

Systems Limited

<div>We are seeking a highly skilled Senior Data Engineer to design, build, and optimize scalable data pipelines and data platforms. The ideal candidate should have strong experience with cloud data engineering, ELT/ETL frameworks, and modern data technologies, enabling the business to make data-driven decisions efficiently.<h3 class="jobSectionHeader"> 
</h3>
<h3 class="jobSectionHeader">Responsibilities</h3>
<ul>
<li>Design, develop, and maintain scalable data pipelines for batch and real-time processing.
</li>
<li>Build and optimize data lake, data warehouse, and data mart architectures.
</li>
<li>Develop and enhance ETL/ELT workflows using best practices.
</li>
<li>Work with large datasets, ensuring data quality, integrity, and governance.
</li>
<li>Collaborate with Data Scientists, Analysts, and Product teams to understand data needs.
</li>
<li>Implement data modeling (Star, Snowflake, 3NF) for analytics and reporting.
</li>
<li>Optimize database performance, query tuning, and data storage solutions.
</li>
<li>Ensure data security, access control, and compliance standards.
</li>
<li>Lead technical design discussions and mentor junior data engineers.
</li>
<li>Work with CI/CD pipelines, version control, and automation tools.</li> 
</ul>
<h3 class="jobSectionHeader">Requirements:</h3>
<ul>
<li>Strong experience with cloud platforms: AWS / Azure / GCP.
</li>
<li>Hands-on experience in SQL, Python, and distributed data processing.
</li>
<li>Expertise in tools like Spark, Databricks, Hadoop, Hive, Airflow, Kafka or similar.
</li>
<li>Experience with data warehouses such as Snowflake, Redshift, BigQuery, or Synapse.
</li>
<li>Strong understanding of ETL/ELT, data modeling, and data architecture principles.
</li>
<li>Experience building real-time streaming pipelines (Kafka, Kinesis, EventHub).
</li>
<li>Proficiency with CI/CD, Git, DevOps workflows.
</li>
<li>Knowledge of data governance, security, and metadata management.</li></ul></div>

Managing Consultant Data Engineering

<div>We are seeking a Data Engineer with 8+ years of hands-on experience and a strong background in real-time and batch data processing, containerization, and cloud-based data orchestration. This role is ideal for someone passionate about building robust, scalable, and efficient data pipelines, and who thrives in agile, collaborative environments.
Key Responsibilities
<ul><li>Design, build, and maintain real-time data pipelines using streaming frameworks such as Kafka, Apache Flink, and Spark Structured Streaming.</li>
<li>Develop batch processing workflows with Apache Spark (PySpark)</li>
<li>Orchestrate and schedule data workflows using orchestration frameworks such as Apache Airflow and Azure Data Factory</li>
<li>Containerize applications using Docker, manage deployments with Helm, and run them on Kubernetes</li>
<li>Implement modern storage solutions using open formats such as Parquet, Delta Lake, and Apache Iceberg</li>
<li>Build high-performance analytics engines using tools like Trino or Presto</li>
<li>Collaborate with DevOps to manage infrastructure with Terraform and integrate with CI/CD pipelines via Azure DevOps</li>
<li>Ensure data quality and consistency using tools like Great Expectations</li>
<li>Write modular, well-tested, and maintainable Python and SQL code</li>
<li>Develop an observability layer to monitor and optimize performance across data pipelines</li>
<li>Lead and mentor a team of data engineers</li>
<li>Participate in agile ceremonies and contribute to sprint planning and reviews</li>
</ul>
Required Skills &amp; Experience
<ul><li>Advanced Python programming with a strong focus on modular and testable code</li>
<li>Strong knowledge of SQL and experience working with large-scale datasets</li>
<li>Hands-on experience with at least one major cloud platform (Azure preferred)</li>
<li>Solid experience with real-time data processing (Kafka, Flink, or Spark Streaming)</li>
<li>Expertise in Apache Spark (PySpark) for batch processing</li>
<li>Experience implementing lakehouse architectures and working with columnar storage (e.g., ClickHouse)</li>
<li>Proficient in using Azure Data Factory or Apache Airflow for data orchestration</li>
<li>Experience in building APIs to expose large datasets</li>
<li>Solid experience with Docker, Kubernetes, and Helm</li>
<li>Familiarity with data lake open formats such as Parquet, Delta Lake, and Iceberg</li>
<li>Basic experience with Terraform for infrastructure provisioning</li>
<li>Practical experience with data quality frameworks (e.g., Great Expectations)</li>
<li>Comfortable working in agile development teams</li>
<li>Proven ability in debugging and performance tuning of streaming and batch data jobs</li>
<li>Experience with AI-driven tools (e.g., text-to-SQL) is a plus</li>
<li>Bachelor&rsquo;s degree in computer science or related discipline</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), ISO 14001:2015 (EMS), ISO 45001:2018 (OHSMS) 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>

Associate Data Architect - Data Lake/Data Streaming

Explore 1072+ Data engineer in Karachi Pakistan this December. Find roles across top companies and apply now to boost your career.

1072 data engineer jobs IN Karachi Pakistan

Data Engineer

Data Engineer

Data Engineer (Mid-Level)

Principal Data Engineer – Data Quality & Governance

Network & Data Center Engineer

Managing Consultant Data Engineering

Associate Data Architect - Data Lake/Data Streaming