data collector, obstetrics & gynaecology

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data collector obstetrics gynaecology

Aga Khan University

<div><div>Data Collector, Obstetrics &amp; Gynaecology - (260000M5)</div><div><div> 
</div>Data Collector, Obstetrics &amp; Gynaecology
Entity: Medical College
Location: Karachi, Pakistan
Introduction:
Aga Khan University (AKU), a private, self-governing international university chartered in Pakistan in 1983, is a role model for academic, research and service programmes in health and higher education in the developing world. The University currently has teaching sites in Pakistan, East Africa, the United Kingdom and Afghanistan, and is a major component of Aga Khan Development Network.
The Department of Obstetrics and Gynaecology is the academic department of the University to support wide range of in-patient and outpatient care services pertinent to general obstetrics and gynaecology including lactation consultancy, family planning and parenting education. In addition to the core services, department also caters to wide range of specialized services of Maternal Fetal Medicine, Gynecologic Oncology, Urogyneoclogy and Pediatrics &amp; Adolescent gynaeoclogy. The department also offers formal post graduate training programs of residency and fellowship in Maternal Fetal Medicine, Urogynecology and Gynecologic Oncology.
As an equal opportunity employer, AKU believes in promoting a diverse and inclusive culture and is committed to adopt appropriate standards for safeguarding and promoting a respectful relationship with and between diverse workforce of its faculty, staff, trainees, volunteers, beneficiaries, wider communities, and other stakeholders with whom it works, including children and vulnerable adults and expects all employees/trainees and partners to share this commitment.
Aga Khan University invites applications for the position of Data Collector in the Department of Obstetrics &amp; Gynaecology.
This is a closed-ended position.
Job Responsibilities:
You will be for responsible for:<ul><li><div>
gathering, recording, and maintaining high-quality data in support of research studies and projects.</div></li><li><div>
strict adherence to data collection protocols, confidentiality, and ethical standards, ensuring accuracy and reliability of information for analysis and reporting.</div></li><li><div>
facilitation in qualitative and quantitative data collection</div></li><li><div>
providing structured support for data collection</div></li></ul></div><div></div><div><div> 
</div>Requirements:
You should have:<ul><li><div>
intermediate, preferably bachelors</div></li><li><div>
understanding of data entry tools excel, sheets, redcap, bitool etc.</div></li><li><div>
advanced understanding of MS office and excel</div></li><li><div>
2-3 years experience in healthcare/ NGO setup</div></li></ul>
*Comprehensive employment reference checks will be conducted*<div> 
</div></div><div>
Primary Location: Pakistan-Karachi</div><div>
Organisation: Aga Khan University Pakistan</div><div>
Employee Status: Regular</div><div>
Job Type: Standard</div><div>
Job Posting: 17/02/2026, 3:23:19 AM</div><div>
Closing Date: 24/02/2026, 12:59:00 PM</div></div>

Data Collector, Obstetrics & Gynaecology

Polymer Bags Manufacturing Company

Key Responsibilities<ul><li>Develop and maintain ETL/ELT pipelines to ingest data from diverse sources.</li><li>Build and optimize data storage solutions such as data warehouses, data lakes, and marts.</li><li>Ensure high-quality, reliable, and documented data workflows 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 data governance, security, and compliance standards.</li><li>Maintain clear documentation of data infrastructure, workflows, and standards.</li></ul>Required Qualifications✅ Must have a Bachelor&rsquo;s or Master&rsquo;s degree in:<ul><li>Data Science</li><li>Data Engineering</li><li>Computer Science with a strong data specialization</li><li>Information Systems with a data focus</li><li>Statistics, Mathematics, or closely related quantitative degree with demonstrated data coursework</li></ul>Job Type: Full-timePay: From Rs80,000.00 per monthWork Location: In person

Data Engineer

Confiz

<div>We are seeking an experienced engineer to design and implement a Quality Assurance (QA) framework for automated testing across our cloud-native, real-time, and batch data pipelines. The ideal candidate will have deep expertise in Python-based test frameworks, data validation at scale, and CI/CD integration, ensuring reliability, accuracy, and performance in our data platform.
Key Responsibilities
<ul><li>Design and develop a scalable automated data quality and testing framework for real-time (Kafka/Flink/Spark Streaming) and batch (PySpark) data pipelines.</li>
<li>Integrate automated data validation (schema checks, statistical profiling, anomaly detection) into data workflows using tools like Great Expectations, Deequ, or custom-built Python solutions.</li>
<li>Build test harnesses and reusable libraries for unit, integration, and regression testing of ETL pipelines and APIs.</li>
<li>Implement continuous testing pipelines integrated with CI/CD tools (Azure DevOps, GitHub Actions, or Jenkins).</li>
<li>Collaborate with data engineers to embed data quality gates within orchestration tools (Azure Data Factory / Airflow).</li>
<li>Define and monitor data quality KPIs, thresholds, and alerting using observability tools (Datadog, Prometheus, etc.).</li>
<li>Develop mock data generation and simulation frameworks for performance and stress testing.</li>
<li>Ensure comprehensive test coverage for schema evolution, transformation logic, and downstream data consumption APIs.</li>
<li>Contribute to best practices and documentation around test-driven data engineering and quality-first development culture</li>
<li>Have experience of Shift-Left Testing and Test-Driven Data Engineering</li>
<li>Integrate QA Framework with Orchestration and Monitoring Pipelines</li>
<li>Develop Synthetic Data Generators for Edge Cases and Negative Testing</li>
<li>Validate Schema Evolution and Backward Compatibility</li>
<li>Optimize Testing for Cost Efficiency</li>
<li>Ensure Stability of Every Release</li>
</ul>
Required Skills
<ul><li>Strong knowledge of data warehousing, lakehouse architectures, and data lake</li>
<li>Overall 6+ years of experience in data warehousing domain and 3+ in ETL testing and data quality</li>
<li>Strong Python development skills, emphasizing modular, testable, and reusable code.</li>
<li>Hands on knowledge of test automation tools and libraries for data warehouse solutions.</li>
<li>Expertise with data quality libraries such as Great Expectations, Deequ, Soda Core, or equivalent.</li>
<li>Solid understanding of SQL and ability to validate transformations over large-scale datasets.</li>
<li>Familiarity with Apache Spark (PySpark) and real-time data processing frameworks (Kafka, Flink, Spark Streaming).</li>
<li>Experience with Azure ecosystem (Data Factory, Databricks, Storage, Synapse).</li>
<li>Experience with CI/CD pipelines and automated testing workflows.</li>
<li>Exposure to monitoring and alerting for data quality metrics</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>

Data Quality & Test Automation Framework Engineer

Efrotech Services

Key Responsibilities<ul><li>Develop and maintain ETL/ELT pipelines to ingest data from diverse sources.</li><li>Build and optimize data storage solutions such as data warehouses, data lakes, and marts.</li><li>Ensure high-quality, reliable, and documented data workflows 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 data governance, security, and compliance standards.</li></ul>Job Type: Full-timePay: From Rs80,000.00 per monthWork Location: In person

<div>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.
Responsibilities:
<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>
Qualifications
<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>
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

DM Clinical Research

<div>The Business Development Data Analyst is responsible for maintaining accurate, timely, and reliable business development data across internal systems. This role supports the BD team by entering and updating data in real time, identifying inconsistencies, and ensuring high-quality reporting and workflow continuity. The ideal candidate is responsible, detail-oriented, and takes full ownership of their work while demonstrating a strong understanding of research operations and data entry standards. The ability to read and understand clinical trial protocols, along with strong critical thinking and problem-solving skills, is required. 
DUTIES &amp; RESPONSIBILITIES
The Business Development Data Analyst will be responsible for the following:<ul><li>
 Enter and update data in Atom and Salesforce in real time (same day) to ensure up-to-date tracking and reporting</li><li>
 Maintain a minimum of 90% data entry accuracy and uphold high standards for data quality</li><li>
 Identify data inconsistencies, gaps, and errors, and correct them when appropriate or report them to the relevant teams for resolution</li><li>
 Review and interpret study documentation as needed, including the ability to read and understand clinical trial protocols</li><li>
 Apply critical thinking and problem-solving skills to resolve data issues, workflow gaps, and reporting discrepancies</li><li>
 Monitor and maintain data integrity across large-scale databases and BD tracking systems</li><li>
 Support team and department productivity through additional duties as assigned</li><li>
 Ensure data is entered consistently, clearly, and in alignment with departmental standards and processes</li></ul>
KNOWLEDGE &amp; EXPERIENCE
Education:<ul><li>
 Bachelor&rsquo;s Degree</li></ul>
Experience:<ul><li>
At least one-year prior experience in clinical research is preferred</li></ul>
Qualifications:<ul><li>
 Current DM employee with knowledge of our data systems (preferred)</li><li>
 Highly responsible with strong ownership and accountability for assigned work</li><li>
 Strong attention to detail and ability to maintain accuracy in a fast-paced environment</li><li>
 Ability to read and understand clinical trial protocols (preferred &ndash; however, this can be trained)</li><li>
 Strong critical thinking and problem-solving skills (required)</li><li>
 Demonstrates understanding of clinical research and research-related data entry practices</li><li>
 Strong organizational and communication skills</li></ul>
Knowledge and Skills:<ul><li>
 Working knowledge of research and research-related data entry</li><li>
 Proficiency with computer software, including:</li><li>
 Excel (google scripts)</li><li>
 Word, PowerPoint, Visio</li><li>
 SQL Server queries</li><li>
 BI tools (knowledge preferred)</li><li>
 Ability to interact professionally with a diverse group of individuals, including executives, managers, clinicians, and subject matter experts</li><li>
 Experience with methodologies and processes for managing large-scale databases</li><li>
 Strong communication and organizational skills with attention to detail</li><li>
 Ability to learn multiple and diverse data systems</li></ul></div>

Business Development Data Analyst

RGH Global

Role: Azure Data EngineerLocation: Karachi Work Arrangement: On-site Employment Type: Full-timeOverviewWe are seeking a highly experienced Azure Data Engineer with 6+ years of hands-on experience in Azure and Databricks architecture, migration, and development. This role requires strong ownership, clear communication, and the ability to overlap up to 6 hours with US CST.Key Responsibilities<ul><li>Design, develop, and implement advanced analytics solutions using Azure and Databricks</li><li>Perform data migration and transformation on Databricks</li><li>Build and maintain scalable data pipelines and API integrations</li><li>Collaborate with data engineers, data scientists, and business stakeholders</li><li>Optimize performance of Azure and Databricks solutions</li><li>Monitor and manage Databricks environments for reliability</li><li>Lead architecture and development of complex data integration projects</li><li>Conduct code reviews and enforce best practices</li><li>Own and self-manage tasks to ensure timely, high-quality delivery</li></ul>Qualifications<ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, IT, or related field</li><li>6+ years of experience with Azure and Databricks</li><li>Strong experience with data pipelines, data architecture, and ETL</li><li>Proficiency in Python, Scala, or Java</li><li>Hands-on experience with Spark, Hadoop, or similar tools</li><li>Strong SQL and relational database knowledge</li><li>Experience with cloud infrastructure monitoring</li><li>Excellent problem-solving and communication skills</li><li>Ability to work with US CST (up to 6 hours overlap)</li></ul>Preferred<ul><li>Azure and/or Databricks certification</li></ul>Technical Skills<ul><li>Azure Data Factory (ADF)</li><li>Databricks</li><li>Azure Synapse Analytics</li><li>SQL &amp; NoSQL databases</li><li>ETL &amp; data warehousing</li><li>Python / Scala</li><li>Power BI or similar visualization tools</li></ul>Job Type: Full-timePay: Rs400,000.00 - Rs600,000.00 per monthApplication Question(s):<ul><li>Are you based in Karachi and willing to work from office</li><li>Kindly quote your monthly salary expectations</li></ul>Experience:<ul><li>data engineering: 5 years (Required)</li></ul>Work Location: In person

Azure Data Engineer

Explore 248+ Data collector obstetrics gynaecology in Karachi this February. Find roles across top companies and apply now to boost your career.

248 data collector obstetrics gynaecology jobs In Karachi

Data Collector, Obstetrics & Gynaecology

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