Qureos Mentor

H2o Labs

About the RoleWe are seeking a highly skilled and experienced Senior / Lead Data Engineer to design, build, and maintain scalable, reliable, and high-performance data systems.In this role, you will take ownership of data platforms, lead cross-functional initiatives, and enable analytics, machine learning, and business intelligence across the organization. You will play a key role in shaping data architecture, ensuring data quality and governance, and supporting data-driven decision-making.Key ResponsibilitiesData Architecture &amp; Modeling<ul><li>Design and implement scalable data models (star schema, fact/dimension tables)</li><li>Develop conceptual, logical, and physical data models</li><li>Build enterprise data warehouse solutions with high performance and scalability</li><li>Define and enforce data modeling standards and best practices</li></ul>Data Engineering &amp; Pipeline Development<ul><li>Build and maintain end-to-end data pipelines (ingestion &rarr; transformation &rarr; serving)</li><li>Develop ETL/ELT processes using modern tools and frameworks</li><li>Implement data validation pipelines and staging layers</li><li>Optimize SQL queries, indexing, and database performance</li></ul>Data Platform Reliability &amp; Observability<ul><li>Ensure reliability and integrity of data pipelines</li><li>Build monitoring dashboards and alerting systems</li><li>Implement data quality checks and schema enforcement</li><li>Lead incident management and root cause analysis</li></ul>Data Governance &amp; Quality<ul><li>Establish data governance frameworks and policies</li><li>Ensure data integrity, lineage, and compliance</li><li>Manage access controls and data security</li><li>Maintain separation between core datasets and analytics layers</li></ul>Cloud &amp; Big Data Integration<ul><li>Integrate systems with data lakes and large-scale platforms</li><li>Work with cloud environments (AWS preferred)</li><li>Utilize tools such as AWS Glue, Lambda, Redshift, or Snowflake</li><li>Design scalable and cost-efficient data solutions</li></ul>Analytics Engineering &amp; Data Products<ul><li>Build and deliver data products for analysts and data scientists</li><li>Develop reusable frameworks for transformation and orchestration</li><li>Support advanced analytics and reporting</li></ul>CI/CD &amp; DevOps for Data<ul><li>Implement CI/CD pipelines for data workflows</li><li>Automate testing, deployment, and validation</li><li>Use version control tools (Git/GitHub)</li><li>Ensure high availability and disaster recovery</li></ul>Programming &amp; Tools<ul><li>Strong expertise in SQL (advanced level)</li><li>Proficiency in Python for automation and data processing</li><li>Experience with tools such as dbt, DBeaver, and orchestration tools (e.g., Dagster)</li></ul>Leadership &amp; Collaboration<ul><li>Lead technical initiatives and mentor junior engineers</li><li>Conduct code reviews and architecture discussions</li><li>Collaborate with engineering, product, and business teams</li><li>Translate business requirements into scalable data solutions</li></ul>Requirements<ul><li>Bachelor&rsquo;s degree in Computer Science, Engineering, IT, or related field</li><li>4&ndash;5+ years of experience in Data Engineering or related roles</li><li>Strong expertise in data modeling, SQL, and ETL/ELT pipelines</li><li>Experience with data warehousing and data lakes</li><li>Hands-on experience with cloud platforms (AWS preferred)</li><li>Strong understanding of system design and scalable architecture</li><li>Excellent communication and stakeholder management skills</li><li>Ability to work in fast-paced, agile environments</li></ul>Preferred Qualifications<ul><li>Experience with AWS services (Glue, Lambda, etc.)</li><li>Experience with Snowflake or Redshift</li><li>Strong hands-on experience with dbt</li><li>Knowledge of machine learning data pipelines</li><li>Certifications (SQL Server, CDMP, MCSA, or similar)</li><li>Experience in regulated industries (Healthcare, Defense, etc.)</li><li>Familiarity with CI/CD, data governance, and FinOps practices</li></ul>Job Type: Full-timePay: Rs250,000.00 - Rs400,000.00 per monthWork Location: In person

Senior Data Engineer

About the RoleH2O Labs is looking for a motivated and detail-oriented SEO Executive with up to 2 years of experience to join our growing team. This role is ideal for someone eager to improve website rankings, drive organic traffic, and build a strong foundation in SEO within a dynamic work environment.Key Responsibilities<ul><li>Assist in executing SEO strategies (On-page, Off-page, and basic Technical SEO)</li><li>Perform keyword research and competitor analysis</li><li>Optimize website content, meta tags, and on-page elements</li><li>Support link-building and outreach activities</li><li>Monitor website performance using Google Analytics and Search Console</li><li>Track keyword rankings and prepare performance reports</li><li>Stay updated with SEO trends and algorithm changes</li></ul>Requirements<ul><li>Up to 2 years of experience in SEO</li><li>Basic to good understanding of On-page and Off-page SEO</li><li>Familiarity with Technical SEO concepts</li><li>Experience with keyword research and analysis</li><li>Knowledge of Google Analytics and Google Search Console</li><li>Ability to optimize content for search engines</li><li>Understanding of SEO fundamentals and ranking factors</li></ul>Job Type: Full-timePay: Rs50,000.00 - Rs60,000.00 per monthWork Location: In person

SEO Executive

About the RoleNerdX Solutions is currently hiring for multiple WordPress Developer positions with experience ranging from 1 to 4 years. We are looking for passionate professionals with strong expertise in Elementor who can develop, customize, and maintain high-quality WordPress websites.Key Responsibilities<ul><li>Design and develop responsive WordPress websites using Elementor</li><li>Work on HTML/PHP development tasks as required</li><li>Perform theme customization based on project requirements</li><li>Handle plugin customization and development</li><li>Convert UI/UX designs (Figma, Adobe XD, etc.) into functional websites</li><li>Optimize website performance, speed, and SEO best practices</li><li>Troubleshoot website issues and implement fixes</li><li>Ensure cross-browser compatibility and mobile responsiveness</li></ul>Requirements<ul><li>1 to 4 years of experience in WordPress development</li><li>Strong expertise in Elementor (mandatory)</li><li>Hands-on experience in theme customization</li><li>Experience in plugin customization and modification</li><li>Proficiency in HTML, CSS, JavaScript (PHP understanding preferred)</li><li>Basic knowledge of PHP &amp; MySQL</li><li>Understanding of SEO principles and website optimization</li><li>Familiarity with version control (e.g., Git) is a plus</li></ul>Preferred Skills<ul><li>Experience with WooCommerce</li><li>Knowledge of website hosting, cPanel, and domain management</li><li>Ability to work independently and meet deadlines</li><li>Strong problem-solving and communication skills</li></ul>Job Type: Full-timePay: Rs40,000.00 - Rs65,000.00 per monthWork Location: In person

Junior WordPress Developer

Senior / Lead / Data Engineer &ndash; Comprehensive Job DescriptionAbout the RoleWe are seeking a highly skilled and experienced Senior/Lead/Staff Data Engineer todesign, build, and maintain scalable, reliable, and high-performance data systems. Thisrole requires deep technical expertise, strong ownership of data platforms, and the abilityto lead cross-functional initiatives that power analytics, machine learning, businessintelligence, and mission-critical applications.You will play a key role in shaping data architecture, ensuring data quality and governance,and enabling teams across the organization to make data-driven decisions withconfidence.Key ResponsibilitiesData Architecture &amp; Modeling<ul><li>Design and implement scalable data models, including:</li></ul>o Star schema (fact and dimension tables)o Conceptual, logical, and physical data models<ul><li>Develop enterprise data warehouse solutions ensuring:</li></ul>o Flexibility, scalability, and performance optimization<ul><li>Define and enforce data modeling standards and best practices</li></ul>Data Engineering &amp; Pipeline Development<ul><li>Build and maintain end-to-end data pipelines:</li></ul>o Data ingestion &rarr; staging &rarr; transformation &rarr; serving layers<ul><li>Develop robust ETL/ELT processes using modern tools and frameworks</li><li>Implement:</li></ul>o Typed staging layerso Data validation pipelineso Safe backfill and replay mechanisms<ul><li>Optimize SQL queries, indexing strategies, and database performanceData Platform Reliability &amp; Observability</li><li>Own data pipeline reliability and integrity</li><li>Build observability systems, including:</li></ul>o Monitoring dashboardso Alerting frameworks (actionable, low-noise)o Data freshness tracking<ul><li>Implement:</li></ul>o Schema contracts and enforcemento Data quality checks and validation ruleso Failure detection in CI pipelines (not post-deployment)<ul><li>Lead incident management and root cause analysis</li></ul>Data Governance &amp; Quality<ul><li>Establish data governance frameworks:</li></ul>o Standards, policies, and best practices<ul><li>Enforce:</li></ul>o Data integrityo Data lineage and traceabilityo Access controls and compliance<ul><li>Separate and maintain clear boundaries between:</li></ul>o Core governed datasetso Downstream analytics/BI layersCloud &amp; Big Data Integration<ul><li>Integrate systems with:</li></ul>o Data lakes and large-scale data platforms<ul><li>Work with modern cloud ecosystems (AWS preferred):</li></ul>oo Data warehouse platforms (e.g., Redshift, Snowflake)<ul><li>Design cost-efficient and scalable data solutions</li></ul>Analytics Engineering &amp; Data Products<ul><li>Design and deliver data products used by:</li></ul>o Analystso Data scientistso Product teams<ul><li>Build reusable frameworks for:</li></ul>o Data transformationo Orchestrationo Feature engineering (ML readiness)<ul><li>Support advanced analytics and reporting use cases</li></ul>CI/CD &amp; DevOps for Data<ul><li>Implement CI/CD pipelines for data workflows</li><li>Automate:</li></ul>o Testingo Deploymento Validation<ul><li>Use version control systems (Git/GitHub)</li><li>Ensure:</li></ul>o High availabilityo Backup and recovery strategiesProgramming &amp; Tooling<ul><li>Develop solutions using:</li></ul>oo Python (automation, validation, tooling)<ul><li>Work with tools such as:</li></ul>o dbt (deep experience required)o DBeaver, Visual Studioo Orchestration tools (e.g., Dagster or similar)Leadership &amp; Collaboration<ul><li>Lead cross-functional technical initiatives</li><li>Mentor and guide junior to mid-level data engineers</li><li>Conduct:</li></ul>o Code reviewso Architecture discussionso Knowledge sharing sessions<ul><li>Collaborate with:</li></ul>o Engineering teamso Product managerso Business stakeholders<ul><li>Translate business requirements into scalable data solutions</li></ul>Strategic Impact<ul><li>Drive platform evolution and innovation</li><li>Identify opportunities for:</li></ul>o Performance improvementso Cost optimization (FinOps mindset)o Automation and scalability<ul><li>Influence organizational data strategy and roadmapRequired Qualifications</li><li>Bachelor&rsquo;s degree in computer science, Engineering, IT, or related field</li><li>4&ndash;5+ years of experience in data engineering or analytics engineering</li><li>Strong expertise in:</li></ul>o Data modeling (star schema, dimensional modeling)o SQL and performance tuningo ETL/ELT pipeline development<ul><li>Hands-on experience with:</li></ul>o Data warehousing and data lakeso Big data integrations<ul><li>Experience with:</li></ul>o Cloud platforms (AWS preferred)o Data quality, validation, and governance frameworks<ul><li>Strong understanding of:</li></ul>o System designo Scalable architecture<ul><li>Excellent communication and stakeholder management skills</li><li>Ability to work in agile, fast-paced environments</li><li>Eligibility to obtain security clearance (if required)</li></ul>Preferred Qualifications<ul><li>Experience with:</li></ul>o AWS services (Glue, Lambda, etc.)o Snowflake, Redshifto dbt (production-level deployments)<ul><li>Knowledge of:</li></ul>o Machine learning data pipelineso Certifications:o SQL Server, CDMP, MCSA, or similar<ul><li>Experience in:</li></ul>o Healthcare, defense, or regulated industries<ul><li>Familiarity with:</li></ul>o CI/CD for data systemso Data governance and FinOps practicesWhat Makes a Strong Candidate<ul><li>Thinks of systems, not just pipelines</li><li>Focuses on root-cause solutions, not temporary fixes</li><li>Balances:</li></ul>o Business valueo Scalabilityo Maintainability<ul><li>Strong ownership mindset with ability to lead initiatives end-to-end</li><li>Passion for building resilient, high-quality data platforms</li></ul>Job Type: Full-timePay: Rs250,000.00 - Rs350,000.00 per monthWork Location: In person

Lead Data Engineer

Location: Johar Town, Lahore Shift: Night Shift (5:00 PM &ndash; 2:00 AM) Job Type: Full-Time (Onsite) Experience Required: 2&ndash;4 YearsJob Overview:We are looking for a detail-oriented and analytical Program Analyst to join our team. The ideal candidate will be responsible for analyzing program performance, generating reports, and supporting data-driven decision-making. This role requires strong analytical skills along with excellent communication abilities to collaborate effectively with internal teams and stakeholders.Key Responsibilities:<ul><li>Analyze program data and performance metrics to identify trends and insights</li><li>Prepare daily, weekly, and monthly reports</li><li>Monitor KPIs and suggest improvements for operational efficiency</li><li>Work closely with cross-functional teams to ensure program success</li><li>Maintain accurate documentation and data records</li><li>Assist in process optimization and workflow improvements</li><li>Communicate findings and recommendations clearly to stakeholders</li></ul>Requirements:<ul><li>Bachelor&rsquo;s degree in Business, Data Analytics, or a related field</li><li>2&ndash;4 years of relevant experience</li><li>Strong analytical and problem-solving skills</li><li>Proficiency in Microsoft Excel (advanced level preferred)</li><li>Excellent communication skills (written &amp; verbal)</li><li>Ability to work in a fast-paced, deadline-driven environment</li><li>Strong attention to detail and organizational skills</li></ul>Job Type: Full-timePay: Rs85,000.00 - Rs180,000.00 per monthWork Location: In person

Program Analyst

Job Title: SEO Specialist Job Type: Full-Time (Night Shift) Job Location: OnsiteJob Overview:We are looking for a results-driven and detail-oriented SEO Specialist with up to 4 years of experience to join our team. The ideal candidate will be responsible for improving website rankings, driving organic traffic, and implementing effective SEO strategies.Key Responsibilities:<ul><li>Perform keyword research and competitive analysis to identify growth opportunities</li><li>Optimize website content, meta tags, headings, and internal linking structure</li><li>Conduct technical SEO audits and ensure website health (indexing, crawlability, speed, etc.)</li><li>Monitor and analyze website performance using tools like Google Analytics, Google Search Console, and other SEO tools</li><li>Build and execute off-page SEO strategies including link building</li><li>Collaborate with content, design, and development teams to implement SEO best practices</li><li>Track rankings, traffic, and conversions, and prepare regular performance reports</li><li>Stay updated with the latest SEO trends, algorithm updates, and industry best practices</li></ul>Requirements:<ul><li>Up to 4 years of proven experience as an SEO Specialist or similar role</li><li>Strong understanding of on-page, off-page, and technical SEO</li><li>Hands-on experience with SEO tools (e.g., Ahrefs, SEMrush, Moz, Google Analytics, Search Console)</li><li>Basic knowledge of HTML, CSS, and website structures</li><li>Strong analytical and problem-solving skills</li><li>Excellent communication and reporting skills</li><li>Ability to work in a night shift (full-time, onsite) environment</li></ul>Job Type: Full-timePay: Rs50,000.00 - Rs100,000.00 per monthWork Location: In person

SEO Specialist

Location: Onsite Shift: Night Shift Job Type: Full-TimeJob Overview:We are looking for a skilled and detail-oriented Data Engineer with 2&ndash;4 years of hands-on experience to join our growing team. The ideal candidate will be responsible for building, optimizing, and maintaining scalable data pipelines and architectures to support data-driven decision-making across the organization.Key Responsibilities:<ul><li>Design, develop, and maintain scalable ETL/ELT pipelines</li><li>Build and manage data warehouses and data lakes</li><li>Ensure data quality, integrity, and reliability across systems</li><li>Optimize and automate data workflows for performance and scalability</li><li>Collaborate with data analysts, scientists, and business stakeholders</li><li>Work with large datasets and ensure efficient data processing</li><li>Monitor and troubleshoot data-related issues</li><li>Implement data security and governance best practices</li><li>Communicate effectively with cross-functional teams and stakeholders</li></ul>Required Skills &amp; Qualifications:<ul><li>Bachelor&rsquo;s degree in Computer Science, IT, or related field</li><li>2&ndash;4 years of experience as a Data Engineer or similar role</li><li>Strong proficiency in SQL and database design</li><li>Hands-on experience with Python (or similar programming language)</li><li>Experience with ETL tools (e.g., Airflow, Talend, Informatica)</li><li>Familiarity with cloud platforms (AWS, GCP, or Azure)</li><li>Experience with big data tools (e.g., Hadoop, Spark)</li><li>Understanding of data warehousing concepts</li><li>Excellent communication and interpersonal skills</li><li>Strong problem-solving and analytical skills</li></ul>Preferred Qualifications:<ul><li>Experience with real-time data processing</li><li>Knowledge of Docker/Kubernetes</li><li>Familiarity with CI/CD pipelines</li><li>Experience working in agile environments</li></ul>Job Type: Full-timePay: Rs100,000.00 - Rs220,000.00 per monthWork Location: In person

Data Engineer

Join H2o Labs and explore 9   exciting career opportunities. They're hiring for various roles with options for remote or on-site work. Apply today and become part of their innovative team.