data engineer

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remote - data engineering analyst Jobs in Lahore

remote - data engineering analyst

senior data engineer

Datamatics Global Services Ltd

<div><h2 class="jobSectionHeader">Job Title: Senior Data Engineer</h2>
Location: Remote 
Experience: 7 - 10 Years 
 
Only CV's which are as per JD will be shortlisted<h3 class="jobSectionHeader">
Role Purpose</h3>
We are seeking a highly skilled Senior Data Engineer to design, develop, and maintain scalable data pipelines and modern data platforms leveraging the Microsoft Fabric and Azure ecosystem. This role is critical in enabling data-driven decision-making by building efficient, reliable, and high-performance data solutions that support analytics, reporting, and advanced data use cases across the organization.<h3 class="jobSectionHeader">
Key Responsibilities</h3><h4 class="jobSectionHeader">
Data Engineering &amp; Development</h4><ul><li>
Design, build, and maintain robust ETL/ELT pipelines using Azure Data Factory (ADF) and Microsoft Fabric</li><li>
Develop and optimize data workflows using PySpark and SQL</li><li>
Implement and manage Lakehouse architecture using the Medallion (Bronze, Silver, Gold) layers</li><li>
Work with Azure Data Lake Storage (ADLS) and Delta Lake for scalable data storage and processing</li><li>
Integrate data from multiple sources while ensuring data quality, consistency, and reliability</li></ul><h4 class="jobSectionHeader">
Collaboration &amp; Enablement</h4><ul><li>
Partner with BI developers and analysts to enable data models and reporting solutions</li><li>
Collaborate with cross-functional stakeholders to translate business requirements into technical solutions</li></ul><h4 class="jobSectionHeader">
Performance &amp; Reliability</h4><ul><li>
Monitor, troubleshoot, and optimize data pipelines and system performance</li><li>
Ensure high availability and scalability of data platforms</li></ul><h4 class="jobSectionHeader">
Governance &amp; Compliance</h4><ul><li>
Implement and enforce data governance, security, and compliance best practices</li><li>
Ensure proper data lineage, cataloging, and documentation</li></ul><h3 class="jobSectionHeader">
Additional Responsibilities (Senior Level)</h3><ul><li>
Lead the design and architecture of scalable data platforms and solutions</li><li>
Define and enforce data engineering standards, frameworks, and best practices</li><li>
Mentor junior data engineers and conduct code reviews to ensure quality and performance</li><li>
Optimize large-scale data processing and improve system efficiency and cost optimization</li><li>
Drive adoption of Microsoft Fabric and modern data engineering practices across teams</li></ul><h3 class="jobSectionHeader">
Required Skills &amp; Qualifications</h3><ul><li>
5+ years of experience in Data Engineering</li><li>
Strong hands-on experience with:<ul><li>
Azure Data Factory (ADF)</li><li>
Microsoft Fabric</li><li>
PySpark and SQL</li><li>
Azure Data Lake Storage (ADLS)</li><li>
Delta Lake</li></ul></li><li>
Solid understanding of data modeling, ETL/ELT concepts, and Lakehouse architecture</li><li>
Experience with Medallion architecture (Bronze, Silver, Gold layers)</li><li>
Strong problem-solving and performance optimization skills</li><li>
Experience working in cloud-based data platforms (Azure preferred)</li></ul><h3 class="jobSectionHeader">
Preferred Qualifications</h3><ul><li>
Experience with Power BI or other BI tools</li><li>
Familiarity with data governance and security frameworks</li><li>
Exposure to CI/CD pipelines for data engineering workflows</li><li>
Experience working in Agile/Scrum environments</li></ul>
uj3kMcRSfR</div>

Senior Data Engineer

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

ACE Money Transfer

<div>About Us: 
 
We are a dynamic and fast-growing financial technology group headquartered in Manchester, United Kingdom, with an established presence across the UK, Europe, Canada, Australia, Pakistan, and Bangladesh. Our group, encompassing ACE Money Transfer and ACE Union, operates across two regulated verticals: Electronic Money Services (EMI) and Cross-Border Remittances. 
Through our digital platforms, including mobile apps, web portals, and APIs, we deliver a comprehensive range of regulated financial services. These include digital payments, e-wallets, electronic money issuance, prepaid cards, mobile top-ups, bill payments, and international money transfers, designed to serve both individual and business customers in over 100 countries. By leveraging cutting-edge technologies such as AI for fraud detection, automation for seamless transactions, and partnerships with global leaders like Mastercard, we provide secure, user-friendly, and accessible financial solutions that adapt to the evolving needs of a global customer base. 
As we scale our EMI and remittance operations amid 2025's fintech landscape marked by real-time payments, embedded finance, blockchain integration, and sustainability initiatives, we are building a leadership team to drive innovation, regulatory compliance, and excellence across our dual-regulated ecosystem. 
 
Job Overview:
 
 
This role is focused on designing and delivering scalable, secure, and high-performance data architectures to support the organization&rsquo;s expanding analytical and operational needs. The Senior Data Engineer will work closely with cross-functional teams to understand complex data requirements, define and implement robust data transformation rules, and lead the development and optimization of end-to-end data pipelines and data warehouse infrastructure. 
The ideal candidate will have hands-on experience in API based data integrations with third-party platforms, as well as a strong grasp of data governance principles. This includes implementing policies to ensure data quality, privacy, security, and compliance with regulatory standards. The role also involves optimizing workflows for cost efficiency and performance, while providing technical leadership to engineering and analytics teams in executing complex, data driven initiatives. 
 
Key Responsibilities:<ul><li>
Architecting Scalable Data Systems: Designing robust data infrastructures capable of supporting increasing data volume and complexity.</li><li>
Design Data Pipelines: Develop efficient data ingestion pipelines and ETL processes capable of handling both structured and unstructured data effectively.</li><li>
Data Warehouse Management: Manage and optimize the data warehouse, ensuring efficient data storage, retrieval, and transformation. Implement best practices for organizing and managing raw, processed, and curated data, with scalability and future growth in mind</li><li>
Optimize Data Modelling: Write, optimize, and maintain complex SQL queries and Python scripts to ensure efficient data processing.</li><li>
Streamlining Data Workflows: Enhancing data storage, processing, and access methods to improve efficiency, strengthen data observability, and reduce operational costs through targeted infrastructure optimizations.</li><li>
Governance &amp; Quality: Develop and maintain data quality checks to ensure data is accurate, consistent, and regulatory compliant.</li><li>
Develop Integration Procedures: Design and implement processes to integrate data warehouse solutions into operational IT environments.</li><li>
Driving Technical Leadership: Guiding engineering and analytics teams in the execution of data-driven initiatives and innovation.</li><li>
Research &amp; Development: Keep up with the latest technological trends and identify innovative solutions to address customer challenges and company priorities.</li></ul><div> 

Skills and Qualifications:<ul><li>
Bachelor&rsquo;s or Master&rsquo;s degree in Engineering, Computer Science, or a related field, or equivalent professional experience.</li><li>
Minimum of 4 years of hands-on experience in a Data Engineering or Data Architecture role.</li><li>
Proven experience with cloud platforms such as AWS, Azure, or GCP, with practical knowledge of their core data and infrastructure services.</li><li>
Proficient in using ETL tools and frameworks such as AWS Glue, Apache Airflow, Apache Spark, Kafka, Informatica, DataStage, or Talend for integrating data from multiple sources.</li><li>
Demonstrated expertise in setting up and managing scalable, high-performance data warehouse environments.</li><li>
Strong understanding of dimensional data modeling and mapping techniques, including Star, Snowflake, and Galaxy schemas.</li><li>
Solid understanding of data privacy regulations, including GDPR, and experience applying best practices for data security, compliance, and governance.</li><li>
Working knowledge of data observability principles and the full data lifecycle management.</li><li>
Extensive experience in designing and developing ETL architectures to support large-scale, distributed data processing.</li><li>
Deep knowledge of relational database concepts and advanced proficiency in SQL and Python for data manipulation and transformation.</li><li>
Experience working in distributed environments, including clustering, partitioning, and sharding strategies.</li><li>
Familiarity with building semantic models and preparing reporting and mapping documentation.</li><li>
Strong analytical and problem-solving skills, with a logical and solution-oriented mindset.</li><li>
Prior experience in the financial services sector is a plus.</li></ul></div>
TxQ5oMMo2d</div>

<div><h2 class="jobSectionHeader">Job Title: Senior Data Engineer (AWS)</h2>
Experience: 6&ndash;8 Years 
Location: Remote 
Industry: Retail / Data &amp; Analytics<h3 class="jobSectionHeader"> 
Job Summary</h3>
We are seeking highly skilled and innovative Senior Data Engineers (AWS) to join a dynamic team supporting advanced data initiatives. The ideal candidates will have strong hands-on experience in building scalable data pipelines, working with AWS data services, and delivering high-quality data solutions in fast-paced environments.
This role requires individuals who are problem-solvers, adaptable, and capable of working collaboratively within high-performing teams.<h3 class="jobSectionHeader">
Key Responsibilities</h3><ul><li>
Design, develop, and maintain scalable data pipelines using AWS services.</li><li>
Build and optimize ETL/ELT processes using AWS Glue and DBT (Data Build Tool).</li><li>
Manage and configure data workflows and orchestration within the Orion framework.</li><li>
Develop and maintain configuration files and ensure seamless integration across systems.</li><li>
Collaborate with data architects, analysts, and business stakeholders to deliver data solutions.</li><li>
Optimize data processing performance and ensure data quality and reliability.</li><li>
Work on data modeling, transformation, and warehousing solutions.</li><li>
Implement best practices for data governance, security, and compliance.</li><li>
Troubleshoot and resolve data-related issues across pipelines and infrastructure.</li><li>
Contribute to continuous improvement and innovation in data engineering practices.</li></ul><h3 class="jobSectionHeader">
Required Skills &amp; Expertise</h3><ul><li>
Strong experience with AWS ecosystem, including:<ul><li>
AWS Glue</li><li>
Amazon S3</li><li>
AWS Lambda</li><li>
Amazon Redshift / RDS</li></ul></li><li>
Hands-on expertise in DBT (Data Build Tool) for data transformation.</li><li>
Solid understanding of data pipeline architecture and ETL/ELT processes.</li><li>
Experience working with Orion framework and handling configuration-driven workflows.</li><li>
Good understanding of networking concepts within AWS environments (VPC, subnets, security groups).</li><li>
Proficiency in SQL and Python for data processing.</li><li>
Experience with version control systems (Git).</li><li>
Familiarity with CI/CD pipelines for data workflows.</li></ul><h3 class="jobSectionHeader">
Preferred Qualifications</h3><ul><li>
Experience in retail or supply chain data environments.</li><li>
Exposure to real-time data processing and streaming frameworks.</li><li>
Knowledge of data lake and lakehouse architectures.</li><li>
AWS certifications (e.g., AWS Certified Data Analytics or Solutions Architect).</li></ul><h3 class="jobSectionHeader">
Key Competencies</h3><ul><li>
Strong analytical and problem-solving skills</li><li>
Innovative mindset with a focus on continuous improvement</li><li>
Ability to work in high-performance, collaborative teams</li><li>
Excellent communication and stakeholder management skills</li><li>
Ownership and accountability for deliverables</li></ul>
soIkqs9cJc</div>

Senior Data Engineer (AWS)

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

Datamatics Technologies

<div>
 
 Job Title: Data Engineer
 
 
 
 Experience:
 
 3&ndash;5 Years
 
 
 Location:
 
 Remote
 
 
 
 
 Only CV matching with JD will be Shortlisted
 
 
 
 
 Role Purpose
 
 
 We are looking for a skilled
 
 Data Engineer
 
 to design, build, and maintain scalable data pipelines within the Azure ecosystem. You will play a key role in enabling data-driven insights by developing reliable data solutions that support analytics, reporting, and business intelligence initiatives.
 
 
 Key Responsibilities
 
 <ul>
 <li>
 Develop and maintain
 
 ETL/ELT pipelines
 
 using
 
 Azure Data Factory (ADF)
 
 </li>
 <li>
 Work with
 
 Azure Data Lake Storage (ADLS)
 
 for data ingestion, storage, and processing
 </li>
 <li>
 Build and optimize data transformations using
 
 PySpark
 
 and
 
 SQL
 
 </li>
 <li>
 Integrate data from multiple structured and unstructured sources
 </li>
 <li>
 Ensure
 
 data quality, integrity, and consistency
 
 across pipelines
 </li>
 <li>
 Support implementation of
 
 Lakehouse architecture
 
 and
 
 Medallion (Bronze, Silver, Gold) layers
 
 </li>
 <li>
 Collaborate with analysts and BI teams to enable reporting and data models
 </li>
 <li>
 Monitor, troubleshoot, and resolve data pipeline issues
 </li>
 <li>
 Document data processes, workflows, and pipeline logic
 </li>
 </ul>
 
 Required Skills &amp; Experience (3&ndash;5 Years)
 
 <ul>
 <li>
 Hands-on experience with
 
 Azure Data Factory (ADF)
 
 and
 
 ADLS
 
 </li>
 <li>
 Strong programming skills in
 
 PySpark
 
 and
 
 SQL
 
 </li>
 <li>
 Experience in building and maintaining
 
 ETL pipelines
 
 </li>
 <li>
 Working knowledge of
 
 structured and unstructured data processing
 
 </li>
 <li>
 Basic understanding of
 
 Lakehouse architecture
 
 and
 
 Medallion framework
 
 </li>
 <li>
 Familiarity with
 
 Delta Lake concepts
 
 </li>
 <li>
 Strong
 
 problem-solving and debugging
 
 skills
 </li>
 </ul>
 
 Preferred Qualifications
 
 <ul>
 <li>
 Experience with
 
 Azure Databricks
 
 </li>
 <li>
 Understanding of
 
 data modeling and data warehousing concepts
 
 </li>
 <li>
 Exposure to
 
 data governance and data quality frameworks
 
 </li>
 <li>
 Experience working in
 
 Agile/Scrum environments
 
 </li>
 </ul>
 
 Soft Skills
 
 <ul>
 <li>
 Strong communication and stakeholder collaboration skills
 </li>
 <li>
 Analytical mindset with attention to detail
 </li>
 <li>
 Ability to work independently in a
 
 remote setup
 
 </li>
 <li>
 Team player with a proactive approach to problem-solving
 </li>
 </ul>
 
 Career Progression Opportunity
 
 
 This role provides a pathway to grow into a
 
 Senior Data Engineer (5&ndash;10 Years)
 
 position, where responsibilities include:
 
 <ul>
 <li>
 Designing end-to-end data architectures
 </li>
 <li>
 Working extensively with
 
 Microsoft Fabric
 
 and advanced Azure services
 </li>
 <li>
 Leading data engineering initiatives and mentoring team members
 </li>
 <li>
 Optimizing large-scale distributed data systems
 </li>
 </ul>
</div>

Data Engineer

HR Ways

Senior Software Engineer (JavaScript/TypeScript)About Company:﻿We are a product company serving US-based clients in the cybersecurity domain. Our office is located in Phase 8, Lahore.We are looking for a Senior Software Engineer (JavaScript/TypeScript) to build highly resilient, high-performance web applications and contribute to delivering world-class secure mobile services.Role Purpose<ul><li>Build and maintain robust, scalable web applications</li><li>Collaborate within a self-organizing, cross-functional Agile team</li><li>Develop high-quality front-end applications using Angular and Node.js</li><li>Influence technical direction and continuously improve tools and processes</li></ul>Key Responsibilities<ul><li>Translate designs and wireframes into high-quality, maintainable code</li><li>Integrate payment gateways using third-party APIs</li><li>Optimize applications for maximum performance across devices and browsers</li><li>Ensure applications are secure, resilient, and production-ready</li><li>Build reusable front-end components and libraries</li></ul>Requirements<ul><li>4&ndash;5 years of experience as a Full Stack or Senior Software Engineer (Angular &amp; Node.js)</li><li>Strong proficiency in JavaScript/TypeScript and modern ECMAScript standards</li><li>Experience with responsive and adaptive design frameworks</li><li>Solid understanding of RxJS, RESTful APIs, and asynchronous programming</li><li>Familiarity with front-end tools such as Webpack, Babel, NPM, and CI/CD pipelines</li><li>Experience with authorization mechanisms (e.g., JWT) and API gateways</li><li>Experience with Express or similar frameworks is a plus</li></ul>Nice to Have:<ul><li>Experience in building native iOS applications</li></ul>Location: Phase 8, Lahore Working Hours: 12:00 PM &ndash; 8:00 PM (to be confirmed)Work Location: In person

Software Engineer

Explore 973+ Senior data engineer in Lahore this May. Find roles across top companies and apply now to boost your career.

973 senior data engineer jobs In Lahore

Senior Data Engineer

Senior Data Engineer

Senior Data Engineer

Senior Data Engineer (AWS)

Lead Data Engineer

Data Engineer

Software Engineer