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big data 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

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

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

ASK Development

Key Responsibilities<ul><li>Configure, manage, and support SAP PM module Master Data</li><li>Coordinate with maintenance teams to ensure timely creation and closure of work orders and notifications.</li><li>Monitor asset performance and support data-driven maintenance planning.</li><li>Generate reports on equipment performance, downtime, labor hours, and material consumption.</li><li>Develop and maintain equipment master data, functional locations, and task lists.</li><li>Conduct training for maintenance staff on SAP usage and process adherence.</li><li>Collaborate with Procurement and Finance for material and service planning linked to maintenance.</li><li>Ensure compliance with internal maintenance SOPs and external audit requirements.</li></ul>Required Qualifications<ul><li>Bachelor's degree in Engineering, Information Technology, or related field.</li><li>Minimum 3 years of experience in SAP Plant Maintenance module.</li><li>Strong understanding of maintenance workflows and equipment life cycle management.</li><li>Excellent analytical and problem-solving skills.</li><li>Strong communication and team coordination abilities.</li></ul>Preferred Skills<ul><li>Experience in utility/facility/infrastructure maintenance.</li><li>Working knowledge of integration between PM, MM, and FI modules.</li><li>SAP S/4HANA experience is a plus.</li></ul>Job Type: Full-timePay: Rs70,000.00 - Rs90,000.00 per monthAbility to commute/relocate:<ul><li>Lahore Secondary Board: Reliably commute or planning to relocate before starting work (Required)</li></ul>Education:<ul><li>Bachelor's (Preferred)</li></ul>Experience:<ul><li>Facilities Maintenance Engineering: 3 years (Required)</li></ul>Work Location: In person

SAP Master Data Engineer

Binary Brix 

Senior Software Engineer (Python/SaaS) &ndash; OnsiteLocation: LahoreCompany: SymufolkAbout the RoleSymufolk is a leading software development firm specializing in AI, Big Data, and scalable SaaS solutions. We are looking for a Senior Software Engineer who brings a growth mindset and a high degree of technical ownership.Key Responsibilities<ul><li>End-to-End Ownership: Lead the technical design and execution of loosely defined features, ensuring commitments are met with high-quality code.</li><li>Backend Architecture: Maintain, build, and optimize high-performance REST APIs using Python.</li><li>Systems Thinking: Apply strong CS fundamentals (data structures, algorithms, and system design) to solve complex scalability issues.</li><li>Collaboration: Work onsite with cross-functional teams of engineers and product managers to deliver seamless end-user products.</li></ul>Technical Requirements<ul><li>Experience: 5+ years of experience building and maintaining SaaS applications.</li><li>Python Mastery: Deep expertise in Python development and modern frameworks.</li><li>DevOps &amp; Infrastructure: Proven experience with CI/CD (Jenkins, GitLab CI/CD) and containerization (Docker, Kubernetes).</li><li>Communication: Excellent written and spoken English.</li><li>Mindset: A proactive, team-oriented professional with a passion for continuous learning.</li></ul>Preferred Skills (The Bonus List)<ul><li>Frameworks: Django, FastAPI, Flask, or SQLAlchemy.</li><li>Cloud: Hands-on experience with AWS environments.</li><li>Data Technologies: Experience with OpenSearch/Elasticsearch, Big Data (Hadoop/Spark), or non-relational databases (Apache HBase).</li></ul>Job Type: Full-timePay: Rs200,000.00 - Rs300,000.00 per monthWork Location: In person

Senior Software Engineer- (Python/saas)

Senior Python Engineer (SaaS Platform)Location: Onsite &ndash; Lahore Company: SymufolkAbout the RoleSymufolk is building scalable AI-driven SaaS products used by global clients. We are seeking a Senior Python Engineer to design, develop, and scale core platform services that power our next-generation applications. This role requires strong technical ownership, system-level thinking, and the ability to work closely with cross-functional teams.Key Responsibilities<ul><li>Design, develop, and maintain high-performance backend systems using Python.</li><li>Architect and optimize RESTful APIs and microservices.</li><li>Ensure system reliability, scalability, and security across distributed services.</li><li>Participate in technical architecture discussions and code reviews.</li><li>Collaborate closely with DevOps teams on deployment strategies and infrastructure.</li><li>Work with product managers to translate business requirements into technical solutions.</li><li>Monitor system performance and troubleshoot production issues.</li><li>Implement best practices for testing, documentation, and maintainability.</li></ul>Requirements<ul><li>5+ years of professional experience in Python development.</li><li>Strong understanding of backend architecture, APIs, and databases (SQL &amp; NoSQL).</li><li>Experience with distributed systems and scalable SaaS platforms.</li><li>Hands-on experience with Docker and CI/CD pipelines.</li><li>Familiarity with Git and modern development workflows.</li><li>Excellent problem-solving and analytical skills.</li><li>Strong communication skills and ability to work in an onsite, collaborative environment.</li><li>Proactive mindset with a strong sense of ownership and accountability.</li></ul>Preferred / Nice to Have<ul><li>Experience with frameworks such as Django, FastAPI, or Flask.</li><li>Hands-on experience with AWS cloud services (EC2, S3, RDS, Lambda, etc.).</li><li>Exposure to Big Data technologies (Spark, Hadoop) or search systems (Elasticsearch/OpenSearch).</li><li>Knowledge of Kubernetes and microservices architecture.</li><li>Experience working on AI/ML-driven products or data-intensive platforms.</li></ul>Why Join Symufolk?<ul><li>Work on cutting-edge AI and SaaS platforms.</li><li>High ownership and impact on product architecture.</li><li>Collaborative engineering culture with strong technical leadership.</li><li>Opportunity to grow into technical leadership roles.</li></ul>Job Type: Full-timePay: Rs200,000.00 - Rs300,000.00 per monthWork Location: In person

Senior Python Engineer

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