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data engineer

NextGenI

<p></p><div><div><div><div><div><div><div><ul><div>Karachi</div>
<div>Full-Time</div><div><br>
</div></ul></div></div></div></div></div></div><p></p><div><div><div><p><b>Job Details</b>:</p>
<div><ul><li><b>Role: </b>Data Engineer</li></ul>
<ul><li><b>Location:</b> Karachi (Hybrid 2+3)</li></ul>
<ul><li><b>Experience:</b> 4+ Years</li></ul>
<ul><li><b>Type: </b>Full Time</li></ul>
</div>
<p><b>About NextGENi</b>:<br>
<br>
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.</p>
<p><b>About the Role</b>:<br>
<br>
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, building and managing Data Lakes and Data Warehouses, and leveraging AWS services to process and store large volumes of data efficiently.</p><br>
<p><b>Key Responsibilities</b>:</p>
<div><ul><li>Lead the design and implementation of ETL/ELT processes for data integration and transformation.</li></ul>
<ul><li>Build and manage Data Lakes and Data Warehouses to support analytics and reporting.</li></ul>
<ul><li>Work extensively with AWS services including Lambda, Glue, Redshift, DMS and QuickSight.</li></ul>
<ul><li>Collaborate closely with clients and stakeholders to understand their data needs and provide strategic solutions.</li></ul>
<ul><li>Ensure data quality, integrity, and scalability across various data systems.</li></ul>
<ul><li>Optimize and maintain data pipelines and processes to meet performance standards.</li></ul>
</div>
<p><b>Key </b><b>Requirements</b>:</p>
<div><ul><li>Extensive experience with ETL/ELT processes and data integration.</li></ul>
<ul><li>Experience building and managing Data Lakes and Data Warehouses.</li></ul>
<ul><li>Strong hands-on experience with Python, PySpark, and SQL</li></ul>
<ul><li>Proficiency in AWS services such as Lambda, Glue, Redshift, DMS and QuickSight.</li></ul>
<ul><li>Strong communication skills with the ability to explain technical solutions.</li></ul>
<ul><li>Ability to work independently and manage complex data engineering projects.</li></ul>
</div>
<p><b>Nice to Have</b>:</p>
<div><ul><li>Experience with dbt for data modelling/transformations</li></ul>
<ul><li>Experience with reporting tools like Metabase or similar BI platforms</li></ul>
<ul><li>Exposure to CI/CD or Infrastructure as Code.</li></ul>
</div>
<div><div><p><b>Instructions to Apply</b></p>
<p>To Apply, send your resumes to talent@nextgeni.com with subject mentioning &ldquo;NGI-DE-002&rsquo;&rsquo;</p><br>
<p><b>Download a blank applicant form</b></p>
<div><div>Download Form</div></div>
<div><b>Disclaimer</b><br>
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>
</div></div>
</div></div></div><p></p><div><div><div><div><p>Benefits</p>
<p>If you give your employees the best, they will give you their best!<br>
We offer the best compensation package to our employees in the industry within Pakistan, second only to none. Take a look at our comprehensive list of benefits that comes with working for us, regardless of your title and position.</p></div></div></div></div></div><p></p>

Data Engineer

NextGENi - A DotZero Company

<div>
 <strong>
  Job Details
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Role: Data Engineer
  </li>
  <li>
   Location: Karachi (Hybrid 2+3)
  </li>
  <li>
   Experience: 4+ Years
  </li>
  <li>
   Type: Full Time
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  About NextGENi
  <br/>
  <br/>
 </strong>
 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.
 <br/>
 <br/>
 <strong>
  About The Role
  <br/>
  <br/>
 </strong>
 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, building and managing Data Lakes and Data Warehouses, and leveraging AWS services to process and store large volumes of data efficiently.
 <br/>
 <br/>
 <strong>
  Key Responsibilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Lead the design and implementation of ETL/ELT processes for data integration and transformation.
  </li>
  <li>
   Build and manage Data Lakes and Data Warehouses to support analytics and reporting.
  </li>
  <li>
   Work extensively with AWS services including Lambda, Glue, Redshift, DMS and QuickSight.
  </li>
  <li>
   Collaborate closely with clients and stakeholders to understand their data needs and provide strategic solutions.
  </li>
  <li>
   Ensure data quality, integrity, and scalability across various data systems.
  </li>
  <li>
   Optimize and maintain data pipelines and processes to meet performance standards.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Key Requirements
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Extensive experience with ETL/ELT processes and data integration.
  </li>
  <li>
   Experience building and managing Data Lakes and Data Warehouses.
  </li>
  <li>
   Strong hands-on experience with Python, PySpark, and SQL
  </li>
  <li>
   Proficiency in AWS services such as Lambda, Glue, Redshift, DMS and QuickSight.
  </li>
  <li>
   Strong communication skills with the ability to explain technical solutions.
  </li>
  <li>
   Ability to work independently and manage complex data engineering projects.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Nice To Have
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Experience with dbt for data modelling/transformations
  </li>
  <li>
   Experience with reporting tools like Metabase or similar BI platforms
  </li>
  <li>
   Exposure to CI/CD or Infrastructure as Code.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Instructions to Apply
  <br/>
  <br/>
 </strong>
 To Apply, send your resumes to talent@nextgeni.com with subject mentioning &ldquo;NGI-DE-002&rsquo;&rsquo;
 <br/>
 <br/>
 <strong>
  Download a blank applicant form
  <br/>
  <br/>
 </strong>
 Download Form
 <br/>
 <br/>
 <strong>
  Disclaimer
  <br/>
  <br/>
 </strong>
 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>


Squarera

<p>Are you a passionate pioneer in technology?</p><p>If so, consider an opportunity with SQUARERA with a full career path within the firm.<br/>To succeed in this data engineering position, you should have strong analytical skills and the ability to combine data from different sources. Data engineer skills include familiarity with several programming languages.</p><p>As a future Trainee Data Engineer, you should have the ability to share new ideas and collaborate within team. If you are detail-oriented, with excellent organizational skills and have some knowledge in this field, we&rsquo;d like to hear from you.</p><p>Fresh graduates or done with their final semester candidates are encouraged to apply!</p><p>Job Responsibilities:</p><p>As a data engineer trainee, you will/may:</p><ul><li>Collect and process log events from multiple data sources to support the design, implementation, automation and deployment of our distributed system.</li><li>Design data schema and optimization of SQL/NoSQL database systems.</li><li>Work collaboratively in designing, development, and maintenance of ongoing metrics, reports, analyzes, and dashboards to drive key business decisions.</li><li>Monitor and troubleshoot operational or data issues in the data pipelines.</li><li>Develop visual automated data pipelines able to process millions of data points.</li><li>You will be responsible for the technical development of any new data integration solution to be plugged into the overall data architecture.</li><li>Undergraduates &amp; candidates outside of Karachi please do not apply.</li></ul><p>BASIC QUALIFICATIONS</p><ul><li>Currently enrolled in or will receive a Bachelor&rsquo;s in Computer Science, Computer Engineering, Information Management, Information Systems, or an equivalent technical discipline.</li><li>Strong knowledge of SQL.</li></ul><p>Key Competencies:</p><ul><li>Attention to detail</li><li>Data collection, management, and analysis</li><li>Problem analysis and problem-solving</li><li>Planning and organizing</li><li>Decision-making</li><li>Teamwork</li><li>Ability to think and work independently</li></ul><p>Perks &amp; Benefits (After selection as a full-time employee)</p><ul><li>Travel Abroad Opportunities</li></ul><p>Note:<br/>The selected trainees would have:</p><ul><li>To sign an undertaking for 27 months</li><li>Medical Insurance</li><li>Annual Bonus</li><li>Yearly Increment</li></ul><p>Job Type: Full-time</p><p>Work Location: In person</p>

Trainee Data Engineer

Polymer Bags Manufacturing Company

<p><b>Key Responsibilities</b></p><ul><li>Develop and maintain <b>ETL/ELT pipelines</b> to ingest data from diverse sources.</li><li>Build and optimize <b>data storage solutions</b> such as data warehouses, data lakes, and marts.</li><li>Ensure <b>high-quality, reliable, and documented data workflows</b> for analytics teams.</li><li>Troubleshoot data issues and enhance the performance of data systems.</li><li>Collaborate with analysts, data scientists, product owners, and business stakeholders on requirements and best practices.</li><li>Support <b>data governance, security, and compliance</b> standards.</li><li>Maintain clear documentation of data infrastructure, workflows, and standards.</li></ul><p><b>Required Qualifications</b></p><p>✅ <b>Must have a Bachelor&rsquo;s or Master&rsquo;s degree in:</b></p><ul><li><b>Data Science</b></li><li><b>Data Engineering</b></li><li><b>Computer Science with a strong data specialization</b></li><li><b>Information Systems with a data focus</b></li><li><b>Statistics, Mathematics, or closely related quantitative degree with demonstrated data coursework</b></li></ul><p>Job Type: Full-time</p><p>Pay: From Rs80,000.00 per month</p><p>Work Location: In person</p>

Efrotech Services

<p><b>Key Responsibilities</b></p><ul><li>Develop and maintain <b>ETL/ELT pipelines</b> to ingest data from diverse sources.</li><li>Build and optimize <b>data storage solutions</b> such as data warehouses, data lakes, and marts.</li><li>Ensure <b>high-quality, reliable, and documented data workflows</b> for analytics teams.</li><li>Troubleshoot data issues and enhance the performance of data systems.</li><li>Collaborate with analysts, data scientists, product owners, and business stakeholders on requirements and best practices.</li><li>Support <b>data governance, security, and compliance</b> standards.</li></ul><p>Job Type: Full-time</p><p>Pay: From Rs80,000.00 per month</p><p>Work Location: In person</p>

Confiz

<div><p>We are looking for a Principal Data Engineer, responsible for leading data engineering teams. He/she will provide guidance, mentorship, and technical expertise to team members, fostering a collaborative and innovative work environment. Collaboration is key for a Principal Data Engineer as he/she will work closely with stakeholders to define project requirements. Therefore, a commitment to collaborative problem solving, sophisticated design, and the creation of quality products is essential.</p>
<p><b>Responsibilities:</b></p>
<ul><li>Collaborate with Big Data Solution Architects to design, prototype, implement, and optimize data ingestion pipelines so that data is shared effectively across various business systems.</li>
<li>Build &amp; maintain ETL/ELT Ingestion pipelines and analytics solutions using cloud technologies.</li>
<li>Ensure the design, code and procedural aspects of solution are production ready, in terms of operational, security and compliance standards.</li>
<li>Implement monitoring and logging solutions to ensure data pipelines run smoothly and issues are promptly identified.</li>
<li>Ensure all data processing complies with security policies and data protection regulations.</li>
<li>Takes the lead in ensuring that data is accurate, consistent, and reliable.</li>
<li>Participate in day-to-day project and production delivery status meetings, and provide technical support for faster resolution of issues.</li>
<li>Work with Stakeholders and Understand their Requirements</li>
</ul>
<p><b>Qualifications</b></p>
<ul><li>Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field (or equivalent work experience).</li>
<li>5+ years of overall experience in data engineering &amp; data warehousing domain focusing on building large scale data pipelines</li>
<li>3+ years' experience in Big Data Distributed systems such as Microsoft Fabric, Databricks, AWS EMR</li>
<li>Strong experience in developing data pipelines using PySpark and ETL tools like ADF, Talend</li>
<li>Proficiency in Python &amp; SQL</li>
<li>Solid understanding of data modelling, ETL processes, and best practices in data warehousing domain</li>
<li>Strong problems solving and critical thinking skills</li>
<li>Experience of writing effective and maintainable unit and integration tests for ingestion pipelines.</li>
<li>Working knowledge of CI/CD pipelines for deployments.</li>
<li>Working knowledge of using code version control repositories like Git.</li>
<li>Knowledge of designing, developing, and managing Kafka-based data pipelines</li>
<li>Knowledge of security best practices including encryption of sensitive data, encryption at rest and encryption in flight.</li>
</ul>
<p>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.</p>
<p>What makes Confiz stand out is our focus on processes and culture. Confiz is <b>ISO 9001:2015</b> (QMS), <b>ISO 27001:2022</b> (ISMS), <b>ISO 20000-1:2018</b> (ITSM), <b>ISO 14001:2015</b> (EMS), <b>ISO 45001:2018 </b>(OHSMS) Certified. We have a vibrant culture of learning via collaboration and making workplace fun.</p>
<p>People who work with us work with cutting-edge technologies while contributing success to the company as well as to themselves.</p>
<p>To know more about Confiz Limited, visit: https://www.linkedin.com/company/confiz-pakistan/</p></div><p></p>

Principal Data Engineer

<div><p>We are seeking a Data Engineer with 7+ 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.</p>
<p><b>Key Responsibilities</b></p>
<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>
<p><b>Required Skills &amp; Experience</b></p>
<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>
<p>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.</p>
<p>What makes Confiz stand out is our focus on processes and culture. Confiz is <b>ISO 9001:2015</b> (QMS), <b>ISO 27001:2022</b> (ISMS), <b>ISO 20000-1:2018</b> (ITSM), <b>ISO 14001:2015</b> (EMS), <b>ISO 45001:2018 </b>(OHSMS) Certified. We have a vibrant culture of learning via collaboration and making workplace fun.</p>
<p>People who work with us work with cutting-edge technologies while contributing success to the company as well as to themselves.</p>
<p>To know more about Confiz Limited, visit: https://www.linkedin.com/company/confiz-pakistan/</p></div><p></p>

Lead Data Engineer

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Lead Data Engineer