it support engineer

cms developer

data analyst

data engineer

data scientist

cloud data engineer

Datamatics Global Services Ltd

<div><h1 class="jobSectionHeader">Senior Data Engineer (12+ Years Experience)</h1><h2 class="jobSectionHeader">
Role Summary</h2>
We are seeking a seasoned Senior Data Engineer with 12+ years of experience in designing, building, and managing scalable data pipelines and architectures. The role requires deep expertise in modern data engineering practices, cloud platforms, and enterprise-grade data solutions to support analytics, reporting, and strategic decision-making.<h2 class="jobSectionHeader">
Key Responsibilities</h2><ul><li>
ETL/ELT Development: Design, build, and maintain robust ETL/ELT pipelines to ingest, transform, and deliver data from diverse sources.</li><li>
Data Lake &amp; Warehouse Design: Architect and implement scalable data lakes and warehouses to support analytics and BI workloads.</li><li>
System Optimization: Optimize data processing frameworks for performance, scalability, and cost efficiency.</li><li>
Data Security: Implement security best practices, encryption, and role-based access controls.</li><li>
Data Governance: Ensure compliance with governance frameworks, data lineage, and quality standards.</li><li>
Collaboration: Work closely with data scientists, analysts, and business stakeholders to deliver reliable data solutions.</li><li>
Automation &amp; CI/CD: Integrate DevOps practices for automated deployment and monitoring of data pipelines.</li><li>
Mentorship: Provide technical guidance and mentorship to junior engineers, fostering a culture of excellence.</li></ul><h2 class="jobSectionHeader">
Required Skills</h2><ul><li>
Programming Expertise: Advanced proficiency in Python, Scala, and/or Java for data engineering tasks.</li><li>
Cloud Platforms: Hands-on experience with AWS, Azure, or GCP for building cloud-native data solutions.</li><li>
Data Architecture: Strong knowledge of data modeling, warehousing, and distributed systems.</li><li>
Big Data Tools: Experience with Spark, Hadoop, Kafka, or equivalent frameworks.</li><li>
SQL Mastery: Expertise in writing optimized queries, stored procedures, and performance tuning.</li><li>
Visualization Support: Ability to prepare curated datasets for BI tools like Power BI or Tableau.</li><li>
Problem-Solving: Strong analytical and troubleshooting skills for complex data challenges.</li></ul><h2 class="jobSectionHeader"> 
Preferred Qualifications</h2><ul><li>
Experience with containerization (Docker, Kubernetes) for data workloads.</li><li>
Knowledge of real-time streaming architectures (Kafka, Kinesis, Event Hub).</li><li>
Familiarity with data mesh and lakehouse architectures.</li><li>
Exposure to machine learning pipelines and advanced analytics integration.</li><li>
Proven track record of leading enterprise-scale data engineering projects.</li></ul>
nH0LSoI5uE</div>

Senior Data Engineer

HireOn

<div>
 
 Employment Type:
 
 Full-Time | Permanent
 
 
 
 Location:
 
 Pakistan (Lahore / Karachi / Islamabad) &ndash; Hybrid
 
 
 
 About The Opportunity
 
 
 
 
 HireOn
 
 is hiring on behalf of a
 
 reputed international client
 
 seeking a
 
 Principal Data Engineer
 
 to play a pivotal role in building and scaling a next-generation cloud data platform.
 
 
 This position focuses on designing and delivering
 
 high-performance data pipelines and warehouse solutions on Amazon Redshift
 
 , enabling faster analytics, improved reliability, and scalable data operations.
 
 
 You will take ownership of
 
 architecting data workflows, optimizing processing performance, and implementing production-grade orchestration
 
 , while collaborating with cross-functional teams to drive data-driven outcomes.
 
 
 
 Key Requirements (Must-Have First)
 
 
 
 <ul>
 <li>
 6 to 8+ years of experience in data engineering, data platforms, or data warehousing
 </li>
 <li>
 Advanced expertise in Amazon Redshift, including performance tuning, workload optimization, and MPP architecture
 </li>
 <li>
 Strong hands-on experience with Apache Airflow (MWAA preferred) for workflow orchestration
 </li>
 <li>
 Proficiency in SQL and Python for building scalable data pipelines
 </li>
 <li>
 Solid experience with cloud-based data ecosystems on AWS (S3, Lambda, CloudWatch, DMS)
 </li>
 <li>
 Deep understanding of data modeling, ETL/ELT frameworks, and large-scale data processing
 </li>
 <li>
 Proven ability to design high-performance, distributed data pipelines
 </li>
 <li>
 Experience leading engineering efforts, including code reviews, mentoring, and technical decision-making
 </li>
 <li>
 Strong knowledge of query optimization, parallel processing, and data pipeline efficiency
 
 
 </li>
 </ul>
 
 
 Core Technical Skills
 
 
 
 
 
 Essential
 
 
 
 <ul>
 <li>
 Amazon Redshift (Provisioned / Serverless)
 </li>
 <li>
 MPP data processing concepts
 </li>
 <li>
 Apache Airflow (MWAA)
 </li>
 <li>
 Advanced SQL &amp; performance tuning
 </li>
 <li>
 Python for data engineering
 </li>
 <li>
 Data modeling &amp; warehousing concepts
 
 
 </li>
 </ul>
 
 Preferred
 
 
 
 <ul>
 <li>
 AWS services (S3, Lambda, DMS, Aurora PostgreSQL)
 </li>
 <li>
 CI/CD pipelines &amp; Git-based workflows
 </li>
 <li>
 Linux/Unix environments
 </li>
 <li>
 Experience with large-scale, distributed data systems
 
 
 </li>
 </ul>
 
 What Success Looks Like
 
 
 
 <ul>
 <li>
 Highly optimized and scalable data pipelines running on Redshift
 </li>
 <li>
 Reliable orchestration with minimal downtime and strong observability
 </li>
 <li>
 Efficient handling of large datasets with improved query performance
 </li>
 <li>
 Well-architected data platform aligned with modern engineering standards
 
 
 </li>
 </ul>
 
 
 Why Join Through HireOn
 
 
 
 
 <ul>
 <li>
 Opportunity to work with a globally recognized client on high-impact data initiatives
 </li>
 <li>
 Exposure to modern cloud data technologies and large-scale systems
 </li>
 <li>
 Hybrid work flexibility within Pakistan
 </li>
 <li>
 Career growth into data architecture and platform leadership roles
 
 
 </li>
 </ul>
 Skills: apache airflow,python,plsql,aws,amazon redshift
</div>

Principal Data Engineer – AWS Redshift & Data Platforms

10Pearls

<div>Company Overview 
10Pearls is an award-winning end-to-end digital innovation company that helps businesses imagine and build the future. We are proud to announce that 10Pearls was named as winner of the Best Tech Work Culture Timmy Award in Washington DC by Tech in Motion, recognized on the Inc. 5000 Fastest-Growing Companies List, and was ranked the #1 Most Diverse Midsize Company in Greater Washington. We partner with businesses to help them transform, scale, and accelerate by adopting digital and exponential technologies. Our work has ranged from creating highly usable, secure digital experiences, mobile and software products, to helping businesses modernize through cloud adoption and development and the digitalization of their business processes. Our clientele is highly diverse, including Global 1000 enterprises, mid-market businesses, and high-growth start-ups. But those are just the facts. What makes us unique is that we have true heart and soul. We have a strong focus on a double bottom line and actively support and engage with the communities where we live and work to make the world a better place. In a nutshell, we believe in doing well, while doing good, and know how to balance the two.
Role
We are hiring for a Senior Data Engineer at 10Pearls responsible for designing, building, and optimizing scalable data pipelines and cloud-based data platforms. The role involves working with modern ETL/ELT tools, data warehouses, real-time data systems, and cloud storage solutions to support analytics and business intelligence initiatives. The engineer collaborates with cross-functional teams to develop reliable, high-performance data solutions using technologies such as Airflow, Snowflake, SQL Server, Python, dbt, and Azure services, while ensuring data quality, automation, and efficient CI/CD practices across production environments.
Responsibilities<ul><li>
Analyze large, complex datasets to extract key insights that inform strategic decision-making.</li><li>
Develop and maintain data models, dashboards, and reports to support business objectives.</li><li>
Apply statistical techniques and predictive modeling to drive business forecasts and performance analysis.</li><li>
Collaborate with data consultant teams to build scalable, reliable data pipelines and optimize data flows.</li><li>
Ensure data quality and integrity through best practices in data governance and validation processes.</li><li>
Partner with cross-functional teams (engineering, product, marketing) to understand data requirements and deliver customized insights.</li><li>
Present findings and actionable recommendations to senior leadership and non-technical stakeholders.</li><li>
Lead, mentor, and provide guidance to junior data analysts and team members.</li><li>
Manage multiple data projects, prioritize deliverables, and meet tight deadlines with high quality output.</li><li>
Implement CI/CD pipelines and version control for data workflows to ensure seamless deployment and collaboration.</li><li>
Stay up to date with the latest trends and technologies in data analytics and propose strategic improvements for ongoing data initiatives.</li><li>
Design, develop, and optimize interactive dashboards using visualization tools, ensuring clarity and usability for business users.</li><li>
Understand client needs and provide tailored, strategic solutions that align with business objectives.</li><li>
Build strong relationships by clearly communicating technical concepts and managing expectations.</li><li>
Actively participate in recruiting top technical talent for the team.</li></ul>
Requirements<ul><li>
5+ years of professional data engineering experience, including ownership of production pipelines that other teams depended on.</li><li>
ETL / ELT: deep experience with Airflow (DAG design, sensors, retries, backfills) and Airbyte (or equivalents like Fivetran, Meltano, or custom connectors).</li><li>
Data warehousing: strong hands-on experience with Snowflake and/or BigQuery, including performance tuning, partitioning/clustering, and cost optimization.</li><li>
Transactional databases: solid SQL Server experience covering schema design, indexing, query tuning, and CDC patterns.</li><li>
Real-time data: production experience with Firebase / Firestore or comparable real-time stores, and at least one streaming or message-bus technology (Kafka, Azure Service Bus, Pub/Sub, Kinesis).</li><li>
Programming: advanced SQL plus strong Python for data engineering; comfortable building reusable, tested, well-documented code.</li><li>
Modeling: fluency with dimensional and modern warehouse modeling, and with transformation frameworks such as dbt.</li><li>
Cloud storage: hands-on experience with Azure Storage (Blob/ADLS); comfort with AWS S3 or GCS is a plus.</li><li>
Experience working with CI/CD for data pipelines (GitLab CI or equivalent), including environment promotion and automated testing.</li><li>
Strong written and verbal communication in English.</li></ul>
Nice to Have<ul><li>
Experience supporting ML use cases: feature stores, training/serving skew, point-in-time correctness, and dataset versioning.</li><li>
Familiarity with Kubernetes-based data platforms and running Airflow on AKS or equivalent.</li><li>
Experience with data quality frameworks such as Great Expectations, Soda, or dbt tests at scale.</li><li>
Domain experience in supply chain, logistics, e-commerce, or warehousing.</li><li>
Familiarity with Azure AI Foundry data integration patterns</li></ul>
KXyUYsOEDi</div>

Staff/Senior Software Consultant - Data Engineer - Morning

Contour Software

<div>About Contour
Contour Software has grown from a dozen people to over 2,000 staff across 3 cities, in less than 14 years. 
As a subsidiary of Constellation Software Inc., we are proud to be part of a global enterprise software conglomerate that has grown to become one of the top 10 software companies in the world, with employees and customers in 100+ countries. With a broad-based and ever-growing portfolio of market-leading, vertical-market enterprise solutions covering more than 100 industry domains in predominantly mature markets, CSI's recipe creates the perfect environment for professionals to build fulfilling, long-term careers. 
What started as an R&amp;D &amp; Accounting back-office, has progressed into a full-service Global Centre serving all functions and departments, at the divisional as well as operating group/corporate level. Today Contour employees, located in Karachi, Lahore &amp; Islamabad, are serving CSI divisions located in time zones spanning the globe, from Sydney to Vancouver. With the global growth of Constellation as the wind in our sails, we are only just getting started!<div><div>
The Division: 
Constellation Payments is a leading global gateway and merchant services provider with special expertise in software integration and recurring transactions representing a wide variety of verticals &ndash; including government entities, municipalities, moving and storage, club management, attractions, fitness, martial arts, event registration and hospitality management.</div><div>
The Position: 
We are looking for a Data Engineer to join our development team and participate in different projects. We are looking for proactive people, team players passionate about technology and big data. This is an excellent opportunity for those professionals looking to develop in one of the fastest growing areas of software development.</div><div>
The selected individuals will work out of the Contour Software Lahore/Karachi/Islamabad resource center office, as an extension of the division-based R&amp;D department.</div><div>
Role and Responsibilities:</div><div><ul><li>
Write efficient queries to extract and analyze large datasets while ensuring seamless systems integration by developing robust data workflows.</li></ul></div><div><ul><li>
Design, develop, and maintain scalable ETL solutions for data pipelines, enhancing and optimizing existing processes to meet evolving business needs.</li></ul></div><div><ul><li>
Develop and expand the organization&rsquo;s data technology stack to support advanced data processing and analytics needs, leveraging tools like AWS MapReduce and PySpark for big data handling.</li></ul></div><div><ul><li>
Apply machine learning techniques to clean and process data, supporting future initiatives to integrate machine learning into analytics workflows.</li></ul></div><div><ul><li>
Continuously evaluate and adopt the most efficient tools and technologies for data extraction, transformation, analysis, and integration.</li></ul></div><div><ul><li>
Build a strong understanding of customer business needs to deliver tailored and impactful data solutions, collaborating with stakeholders to translate business requirements into technical implementations.</li></ul></div><div><ul><li>
Utilize AWS services, including MapReduce and related tools, to enable scalable data processing and pipeline optimization while ensuring security, scalability, and cost-efficiency.</li></ul></div><div><ul><li>
Monitor and improve the performance of data systems and processes, staying updated on industry trends and emerging technologies in data engineering and analytics.</li></ul></div><div>
Required Skills:</div><div><ul><li>
Minimum 3 years of experience with AWS cloud data lake architectures including services like S3, Glue, Athena, and Redshift.</li></ul></div><div><ul><li>
Hands on experience with Apache Airflow for designing and managing complex data workflows.</li></ul></div><div><ul><li>
Deep understanding of data warehouse concepts, architectures, and structures.</li></ul></div><div><ul><li>
Expertise in cloud technologies, particularly AWS services, including AWS Glue, AWS Data Lake, and Amazon EMR for big data processing.</li></ul></div><div><ul><li>
Proven ability to design and build robust, scalable data pipelines for big data processing and transformation.</li></ul></div><div><ul><li>
Hands-on experience with big data tools and frameworks such as PySpark, Databricks, and related technologies.</li></ul></div><div><ul><li>
Proficiency in programming languages such as Python for data manipulation, transformation, and analysis. Advanced Python development skills, including experience with AWS SDKs (e.g. boto3) for interacting with cloud services.</li></ul></div></div><div><div><ul><li>
Proficiency in Apache Kafka for real-time data streaming and event-driven architectures.</li></ul></div><div><ul><li>
Strong SQL skills with a focus on complex query development and optimization. Familiarity with NoSQL databases such as DynamoDB or MongoDB</li></ul></div><div><ul><li>
Experience integrating Python applications with RESTful APIs and external services</li></ul></div><div><ul><li>
Deep understanding of data security best practices, including encryption at rest and in transit. Hands-on experience in implementing AWS KMS (Key Management Services) for managing encryption keys.</li></ul></div><div><ul><li>
Familiarity with IAM policies, VPC configurations, and security groups for securing data pipelines.</li></ul></div><div><ul><li>
Familiarity with machine learning concepts and their application to data cleaning and integration tasks.</li></ul></div><div><ul><li>
Advanced English proficiency, with excellent communication skills for collaborating with stakeholders</li></ul></div></div>
Exciting Benefits we offer:<ul><li>
Market-leading Salary</li><li>
Medical Coverage &ndash; Self &amp; Dependents</li><li>
Parents Medical Coverage</li><li>
Provident Fund</li><li>
Employee Performance-based bonuses</li><li>
Home Internet Subsidy</li><li>
Conveyance Allowance</li><li>
Profit Sharing Plan [Tenured Employees Only]</li><li>
Life Benefit</li><li>
Child Care Facility</li><li>
Company Provided Lunch/Dinner</li><li>
Professional Development Budget</li><li>
Recreational area for in-house games</li><li>
Sporadic On-shore training opportunities</li><li>
Friendly work environment</li><li>
Leave Encashment</li></ul>
Disclaimer: At Contour, we attribute our success to the unique contributions of our diverse staff. We&rsquo;re committed to fostering a culture of respect that thrives on the varied perspectives and experiences of all individuals we recruit, employ, promote, and compensate. Since day one, we&rsquo;ve adhered to a policy that champions a work environment honoring the worth and dignity of each person while being free from all forms of employment discrimination.
In our continuous effort to promote inclusivity, we extend our commitment to individuals with special needs by providing reasonable accommodations. We actively encourage qualified individuals with special needs to apply for the various openings within our company. Should you require assistance in completing the application process or have any inquiries regarding special facilities, please do not hesitate to contact our HR team. Your unique talents and abilities are welcomed and valued here.</div>

Data Engineer

<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>
7A69crohYg</div>

Senior Data Engineer (AWS)

Bazzle Balloons

Job Summary:The Lead Network &amp; Infrastructure Engineer is responsible for designing, implementing, and maintaining enterprise-level network and infrastructure architecture. The role ensures high availability, scalability, performance, and security of the organization&rsquo;s IT network systems while leading technical design decisions and supporting critical infrastructure projects.Key Responsibilities:Network Design &amp; Architecture<ul><li>Design scalable and secure enterprise network architectures (LAN, WAN, WLAN, VPN)</li><li>Develop high-level and low-level network design (HLD/LLD) documents</li><li>Plan and implement network segmentation, redundancy, and disaster recovery strategies</li><li>Evaluate and recommend network technologies and solutions</li></ul>Infrastructure Management<ul><li>Oversee servers, data centers, cloud infrastructure, and virtualization platforms</li><li>Ensure high availability and performance of IT infrastructure</li><li>Manage hybrid environments (on-prem + cloud such as AWS, Azure, GCP)</li></ul>Network Operations &amp; Optimization<ul><li>Monitor network performance, bandwidth usage, and latency</li><li>Identify bottlenecks and implement optimization strategies</li><li>Ensure uptime, reliability, and service continuity</li></ul>Security &amp; Compliance<ul><li>Implement network security controls (firewalls, IDS/IPS, NAC, VPNs)</li><li>Collaborate with cybersecurity teams to enforce security policies</li><li>Ensure compliance with internal and regulatory standards</li></ul>Project Leadership<ul><li>Lead infrastructure and network upgrade projects</li><li>Coordinate with vendors, service providers, and internal teams</li><li>Define technical requirements and project scope</li></ul>Troubleshooting &amp; Support<ul><li>Resolve complex network and infrastructure issues</li><li>Provide escalation support for critical incidents</li><li>Perform root cause analysis for major outages</li></ul>Documentation &amp; Standards<ul><li>Maintain network diagrams, configurations, and documentation</li><li>Establish infrastructure standards and best practices</li><li>Ensure proper change management procedures are followed</li></ul>Required Skills &amp; Qualifications:Education:<ul><li>Bachelor&rsquo;s degree in Computer Science, IT, Telecom Engineering, or related field</li></ul>Technical Skills:<ul><li>Strong expertise in network protocols (TCP/IP, BGP, OSPF, VLANs, DNS, DHCP)</li><li>Hands-on experience with enterprise networking devices (Cisco, Juniper, Fortinet, etc.)</li><li>Knowledge of load balancers, firewalls, and proxy systems</li><li>Experience in cloud networking (AWS VPC, Azure Networking, hybrid networks)</li><li>Familiarity with virtualization (VMware, Hyper-V)</li></ul>Infrastructure Skills:<ul><li>Server administration (Windows/Linux)</li><li>Data center operations</li><li>Storage systems and backup solutions</li><li>Network monitoring tools (SolarWinds, PRTG, Nagios, etc.)</li></ul>Soft Skills:<ul><li>Strong leadership and team collaboration abilities</li><li>Excellent problem-solving and analytical thinking</li><li>Ability to manage multiple critical projects</li><li>Strong communication and documentation skills</li></ul>Preferred Certifications:<ul><li>Cisco CCNP / CCIE (Routing &amp; Switching or Enterprise)</li><li>CompTIA Network+ / Security+</li><li>AWS Certified Advanced Networking</li><li>Microsoft Azure Network Engineer Associate</li><li>VMware Certified Professional (VCP)</li></ul>Work Environment:<ul><li>Enterprise IT / Data center / Hybrid cloud environment</li><li>On-call support for critical infrastructure issues</li><li>Involvement in high-availability and mission-critical systems</li></ul>Job Type: Full-timeApplication Question(s):<ul><li>Current Salary</li><li>Expected Salary</li><li>Notice Period </li></ul>Experience:<ul><li>Network &amp; Infrastructure: 6 years (Required)</li></ul>Work Location: In person

Lead Network & Infrastructure Engineer (network design)

Multinet Pakistan

Job description:We are seeking a proactive and skilled Cloud Security Engineer with hands-on experience in Fortinet and/or Sangfor firewalls, network security, and cloud infrastructure protection. The ideal candidate will be responsible for the design, implementation, and maintenance of secure and scalable network environments, supporting both LAN/WAN and cloud-based systems.Key Responsibilities:<ul><li>Configure, manage, and maintain next-generation firewalls (Fortinet, Sangfor) and related security devices.</li><li>Design, implement, and manage secure LAN/WAN infrastructure and data communication networks.</li><li>Configure and manage VDOMs, IPSec VPN, SSL VPN, NAT, and PAT policies.</li><li>Troubleshoot and analyze security-related network issues and ensure optimal network performance.</li><li>Create and maintain detailed network design documents, configuration guides, and topology diagrams.</li><li>Ensure compliance with internal security standards and external regulatory requirements.</li><li>Provide proof of concept (POC), solution design, and technical presentations when required.</li><li>Collaborate with internal teams to align network security policies with business goals.</li><li>Stay up to date with the latest network and cloud security trends, tools, and best practices.</li><li>Ensure Service Level Agreements (SLAs) are met in accordance with organizational policies.</li></ul>Required Skills and Experience:<ul><li>1+ years of hands-on experience in network security or cloud security engineering.</li><li>Solid understanding of Fortinet or Sangfor firewall platforms.</li><li>Strong knowledge of routing and switching protocols, including static and dynamic routing.</li><li>Familiar with VDOMs, IPSec/SSL VPNs, NAT/PAT, and advanced firewall features.</li><li>Experience in network design, configuration, and security for LAN/WAN/cloud environments.</li><li>Strong troubleshooting skills for network, VPN, and firewall-related issues.</li><li>Excellent documentation and reporting skills.</li></ul>Pay: Up to Rs50,000.00 per monthWork Location: In person

Cloud Security Engineer

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