senior devops engineer

business analyst

bi analyst

data analyst

data scientist

data pipeline engineer

Caregenix Solutions

We're Hiring: ETL Engineer (Remote &ndash; Full Time)Company: CareGenix SolutionsLocation: RemoteExperience: 3+ YearsType: Full-TimeCaregenix Solutions, a fast-growing healthcare tech company, is seeking a skilled ETL Engineer to design and maintain robust data pipelines that power real-time insights and analytics.Key Responsibilities:Build and manage scalable ETL/ELT pipelines using AWS services (Glue, Lambda, S3, EMR, Redshift, etc.).Design and optimize data models and databases (Redshift, Athena, RDS).Ingest data from diverse sources and ensure quality through validation checks.Collaborate with teams to deliver reliable, insight-driven data solutions.Monitor pipeline performance and troubleshoot as needed.Follow best practices for data security and governance.Requirements6+ years in Data Engineering or similar roles.Strong in SQL and Python or Scala.Hands-on experience with AWS data tools: Glue, Redshift, EMR, Athena, Kinesis, etc.Experience with workflow/orchestration tools (Airflow, Step Functions).Solid knowledge of data warehousing, performance tuning, and big data.Familiarity with CI/CD, Git, and IaC tools (Terraform, CloudFormation).Bachelor&rsquo;s in Computer Science, Engineering, or related field.To Apply Send your resume to careers@caregenix.solutionsSubject Line: ETL EngineerBe part of a team transforming healthcare through data. We&rsquo;d love to hear from youJob Type: Full-timePay: Up to Rs400,000.00 per monthApplication Question(s):<ul><li>what is your expected pay?</li></ul>Experience:<ul><li>Data/ ETL : 2 years (Required)</li></ul>Work Location: Remote

Data Engineer

ibex

<div>
 We are seeking a highly motivated and responsible
 
 Data Engineer
 
 to join our dynamic team. This role requires hands-on experience in building scalable data pipelines, managing structured and unstructured databases, and supporting end-to-end data operations. The ideal candidate will bring strong problem-solving skills, a collaborative mindset, and a commitment to data excellence.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Design, develop, and manage reliable and scalable data pipelines.
 </li>
 <li>
 Clean, validate, and transform data from multiple sources for analytics and operational use.
 </li>
 <li>
 Work with large datasets and ensure high data quality and availability.
 </li>
 <li>
 Develop and maintain ETL workflows using standard tools and scripting.
 </li>
 <li>
 Automate data extraction, transformation, and loading processes across systems.
 </li>
 <li>
 Monitor and optimize performance of data workflows for speed and efficiency.
 </li>
 <li>
 Develop, maintain, and optimize complex SQL queries, stored procedures, functions, and views.
 </li>
 <li>
 Design and implement relational database schemas and indexing strategies.
 </li>
 <li>
 Ensure data integrity, security, and compliance within SQL Server environments.
 </li>
 <li>
 Work with MongoDB for storing and querying unstructured or semi-structured data.
 </li>
 <li>
 Design document-based data models and manage performance tuning for MongoDB.
 </li>
 <li>
 Handle replication and backup strategies where applicable.
 </li>
 <li>
 Analyze complex data requirements and translate them into efficient technical solutions.
 </li>
 <li>
 Identify data-related issues, perform root-cause analysis, and deliver timely resolutions.
 </li>
 <li>
 Work closely with data analysts, software engineers, and business stakeholders to understand requirements.
 </li>
 <li>
 Participate in code reviews, team planning sessions, and cross-functional meetings.
 </li>
 <li>
 Take ownership of assigned tasks with accountability and attention to detail.
 </li>
 <li>
 Exhibit a proactive approach to delivering solutions and supporting team goals.
 </li>
 <li>
 Contribute to architectural discussions and recommend improvements based on industry best practices.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Computer Science, Information Systems, or a related field.
 </li>
 <li>
 2&ndash;3 years of experience in data engineering or database development roles.
 </li>
 <li>
 Strong proficiency in SQL Server (T-SQL, indexing, optimization).
 </li>
 <li>
 Hands-on experience with MongoDB or other NoSQL technologies.
 </li>
 <li>
 Familiarity with data pipeline tools and ETL development.
 </li>
 <li>
 Working knowledge of Python or similar scripting languages.
 </li>
 <li>
 Understanding of data modeling, normalization, and data warehousing concepts.
 </li>
 <li>
 Strong analytical thinking and problem-solving skills.
 </li>
 <li>
 Excellent communication and teamwork abilities.
 </li>
 </ul>
</div>

Data Engineer, Tech

Binary Brix 

Job Title: Azure Data Engineer Company: Symufolk Location: Onsite &ndash; Lahore Experience: 3&ndash;5 Years Job Type: Full-TimeJob OverviewSymufolk is looking for an experienced Azure Data Engineer to join our Data &amp; Analytics team. The ideal candidate will design and build scalable data pipelines, work with modern cloud technologies, and support enterprise-level data governance in an Agile environment.Key Responsibilities<ul><li>Design and develop end-to-end data pipelines and API integrations</li><li>Analyse data sources and translate business requirements into technical solutions</li><li>Design, review, and maintain data models and standards</li><li>Support Data Governance (Data Catalog, Business Glossary, Data Dictionary)</li><li>Collaborate with Platform Architects and cross-functional teams</li><li>Ensure data quality, performance, and security</li></ul>Must-Have Qualifications<ul><li>3&ndash;5 years of experience in Azure data platforms</li><li>Strong hands-on with ADF / Synapse, Azure SQL, Spark, and Delta tables</li><li>Experience with REST APIs and databases (Cosmos DB is a plus)</li><li>Solid understanding of DML and CI/CD pipelines</li><li>Excellent English communication and problem-solving skills</li></ul>Job Type: Full-timePay: Rs200,000.00 - Rs300,000.00 per monthWork Location: In person

Azure Data Engineer

Confiz

<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

<div>We are undergoing a significant data transformation to ensure that accurate and consistent data is available precisely when and where it's needed.
Responsibilities:
<ul><li>Write PySpark and SQL scripts to validate data pipelines, transformations, and integrations.</li>
<li>Design and run tests for data validation, storage, and retrieval using Azure services like Data Lake, Synapse, and Data Factory, adhering to industry standards.</li>
<li>Continuously enhance automated tests as new features are developed, ensuring Participate in data reconciliation and verify Data Quality frameworks to maintain data accuracy, completeness, and consistency across the platform.</li>
<li>Formulate and maintain test strategies&mdash;including smoke, performance, functional, and regression testing&mdash;to ensure data processing and ETL jobs meet requirements.</li>
<li>Collaborate with development teams to assess changes in data workflows and update test cases to preserve data integrity.</li>
<li>Share knowledge and best practices by collaborating with business analysts and technology teams to document testing processes and findings.</li>
<li>Communicate testing progress effectively with stakeholders, highlighting issues or blockers, and ensuring alignment with business objectives.</li>
<li>Maintain a comprehensive understanding of the Azure Data Lake platform's data landscape to ensure thorough testing coverage.</li>
</ul>
Requirements:
<ul><li>Bachelor&rsquo;s degree in computer science or related discipline</li>
<li>3-6 years of hands-on experience in Data Engineering particularly in Data Lake environments on Azure's cloud platform.</li>
<li>Proficient in Azure Data Factory, Azure Synapse Analytics and Databricks for big data processing and scaled data quality checks.</li>
<li>Proficiency in SQL, capable of writing and optimizing both simple and complex queries for data validation and testing purposes.</li>
<li>Proficient in PySpark, with experience in data manipulation and transformation, and a demonstrated ability to write and execute test scripts for data processing and validation.</li>
<li>Hands-on experience with Functional &amp; system integration testing in big data environments, ensuring seamless data flow and accuracy across multiple systems.</li>
<li>Knowledge and ability to design and execute test cases in a behaviour-driven development environment.</li>
<li>Fluency in Agile methodologies, with active participation in Scrum ceremonies and a strong understanding of Agile principles.</li>
<li>Familiarity with tools like Jira, including experience with X-Ray or Jira Zephyr for defect management and test case management.</li>
<li>Proven experience working on high-traffic and large-scale software products, ensuring data quality, reliability, and performance under demanding conditions.</li>
<li>Identify and resolve issues in complex Big Data environments, ensuring data accuracy and system efficiency.</li>
<li>Initiate and manage tasks, delivering high-quality results within deadlines in a dynamic setting.</li>
<li>Confidently challenge existing assumptions and processes to enhance data engineering and QA practices.</li>
<li>Maintain organized testing schedules and documentation, ensuring thorough coverage of all scenarios.</li>
<li>Exhibit strong interpersonal skills, working effectively in cross-functional, multicultural teams with minimal supervision.</li>
<li>Comfortable in Agile and Scrum environments, proficient with tools like Jira, and adaptable to changing priorities.</li>
<li>Manage multiple projects simultaneously, demonstrating strong planning and organizational skills to ensure timely task completion.</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 Engineer in Test

IMSI Technologies

Position Overview: IMSI Technologies is seeking a hands-on Senior DevOps Engineer to take ownership of our build pipeline, address security vulnerabilities, and modernize our release processes. This role demands someone who thrives on solving infrastructure challenges, streamlining deployments, and collaborating across teams to deliver reliable, secure software.You&rsquo;ll lead the charge in implementing robust CI/CD pipelines, managing daily builds, and integrating automated testing. If you know your way around GitHub, GitLab, Jenkins, and secure release workflows&mdash;this is your opportunity to make a real impact.Key Responsibilities:&middot; Own and modernize the complete build and release pipeline&middot; Design, implement, and maintain CI/CD pipelines using GitLab, Jenkins, and GitHub Actions&middot; Manage daily build processes, including sanity testing, troubleshooting, and reporting&middot; Implement proper code signing for installers and enforce secure build practices&middot; Collaborate with development and QA teams to integrate automated test scripts into CI/CD workflows&middot; Accelerate localization pipeline and integration&middot; Oversee and improve release management processes to support timely and high-quality software releases&middot; Proactively identify and resolve infrastructure and deployment issues&middot; Maintain and enhance build environment reliability, scalability, and performance&middot; Ensure all DevOps practices align with industry best practices and security standards&middot; Mentor junior DevOps Engineer and enforce best practicesRequired Qualifications:&middot; 5+ years of DevOps experience with a focus on security and release management&middot; Proven experience with CI/CD tools like GitLab, Jenkins, and GitHub&middot; Proficient in Python scripting for automation within DevOps workflows&middot; Experience with version control systems (e.g., Git) and branching strategies&middot; Strong understanding of SDLC, release processes, and testing automation&middot; Knowledge of Docker containerization and deploying microservices in containerized environments&middot; Solid problem-solving and analytical skills with the ability to troubleshoot complex systems efficiently&middot; Excellent organizational, verbal, and written communication skills, with full professional proficiency in EnglishPreferred Qualifications:&middot; Experience in CAD/3D Modeling software development environments&middot; Familiarity with digital rights management systems&middot; Experience with Kubernetes or other container orchestration platforms&middot; Familiarity with cloud platforms (e.g., AWS, Azure, or GCP)&middot; Experience working in Agile/Scrum environments&middot; Background in managing signed release processes&middot; Familiarity with JIRA for task tracking, sprint planning, and cross-team coordinationJob Type: Full-timeWork Location: In personImportant: Please download the questionnaire using the link below, complete it, and return it with your application: https://tinyurl.com/devopquestionnaireJob Type: Full-timeAbility to commute/relocate:<ul><li>Lahore: Reliably commute or planning to relocate before starting work (Required)</li></ul>Language:<ul><li>English (Required)</li></ul>Work Location: In personExpected Start Date: 01/05/2026

Senior DevOps Engineer

ZAPTA Technologies (Pvt.) Limited

ZAPTA Technologies is seeking a DevOps Engineer to join our team and work on building, deploying, and maintaining our software systems. The successful candidate will work closely with our development and operations teams to ensure our software delivery pipeline's smooth and efficient operation. The DevOps Engineer will be responsible for designing, building, and maintaining automation tools and infrastructure and collaborating with other teams to implement DevOps best practices.Responsibilities:<ul><li>Design, build, and maintain automation tools and infrastructure for software development, testing, and deployment</li><li>Collaborate with development and operations teams to implement DevOps best practices and optimize our software delivery pipeline</li><li>Implement and maintain continuous integration and continuous delivery (CI/CD) pipelines</li><li>Monitor and maintain system health and performance, ensuring high availability and reliability of our applications</li><li>Work closely with development teams to ensure code quality, security, and compliance with coding standards and best practices</li><li>Troubleshoot and resolve issues related to software deployment and infrastructure</li><li>Develop and maintain technical documentation, including system diagrams, standard operating procedures, and runbooks.</li></ul>Requirements:<ul><li>Bachelor's degree in computer science, information technology, or a related field</li><li>3-5 years of experience in a DevOps role</li><li>Strong understanding of software development principles and practices, including agile methodologies</li><li>Experience with DevOps tools and technologies, such as Jenkins, Git, Docker, and Kubernetes</li><li>Hands-on experience with Amazon Web Services (AWS).</li><li>Experience with configuration management tools such as Ansible, Puppet, or Chef</li><li>Excellent communication skills and the ability to work collaboratively with internal and external stakeholders</li><li>Strong problem-solving skills and the ability to think creatively to solve complex problems</li><li>Ability to work independently with minimal supervision</li></ul>Preferred Qualifications:<ul><li>DevOps certifications, such as AWS Certified DevOps Engineer</li><li>Expertise in AWS, Azure, GCP, and Rackspace will be highly preferred</li><li>Experience in MySQL, PostgreSQL, MongoDB, RedShift.</li></ul>Experience with containerization and container orchestration platforms, such as Docker and Kubernetes.Job Type: Full-Time Onsite RoleLocation: Bankers Town Near DHA Phase 4 LahoreShift Timing: 10:00 AM to 07:00 PMJob Type: Full-timeWork Location: In person

Explore 370+ Data pipeline engineer in Lahore this February. Find roles across top companies and apply now to boost your career.

370 data pipeline engineer jobs In Lahore

Data Engineer

Data Engineer, Tech

Azure Data Engineer

Principal Data Engineer

Data Engineer in Test

Senior DevOps Engineer

Senior DevOps Engineer