Abrar Admin

QNBeyond Plus

<div>
 
 About the Role
 
 
 We are looking for a skilled
 
 Software Automation Test Engineer
 
 with strong experience in mobile automation testing using
 
 Appium
 
 to join our quality engineering team.
 
 
 In this role, you will be responsible for designing, developing, and maintaining automated test frameworks for mobile applications that power our digital banking platform. You will work closely with developers, product managers, and QA teams to ensure the delivery of high-quality, reliable software.
 
 
 Key Responsibilities
 
 
 Test Automation
 
 <ul>
 <li>
 Design and develop
 
 automated test scripts for mobile applications
 
 using Appium.
 </li>
 <li>
 Maintain and enhance
 
 test automation frameworks
 
 for scalable testing.
 </li>
 </ul>
 
 Mobile Testing
 
 <ul>
 <li>
 Execute automated tests across
 
 Android and iOS platforms
 
 .
 </li>
 <li>
 Ensure the quality and reliability of mobile applications.
 </li>
 </ul>
 
 Test Strategy &amp; Execution
 
 <ul>
 <li>
 Develop test plans, test cases, and test scenarios.
 </li>
 <li>
 Identify, document, and track defects using issue tracking systems.
 </li>
 </ul>
 
 CI/CD Integration
 
 <ul>
 <li>
 Integrate automated tests into
 
 CI/CD pipelines
 
 to support continuous testing.
 </li>
 </ul>
 
 Collaboration
 
 <ul>
 <li>
 Work closely with developers, product managers, and QA teams to ensure quality throughout the development lifecycle.
 </li>
 <li>
 Participate in
 
 Agile ceremonies
 
 including sprint planning and retrospectives.
 </li>
 </ul>
 
 Required Qualifications
 
 
 Experience
 
 <ul>
 <li>
 
 3+ years of experience in software testing
 
 </li>
 <li>
 
 2+ years of experience in automation testing
 
 </li>
 </ul>
 
 Technical Skills
 
 <ul>
 <li>
 Appium
 </li>
 <li>
 Mobile test automation
 </li>
 <li>
 Java / JavaScript / Python (for automation scripting)
 </li>
 <li>
 Test frameworks and automation tools
 </li>
 <li>
 REST API testing
 </li>
 </ul>
 
 Mobile Platforms
 
 <ul>
 <li>
 Experience testing
 
 Android and iOS applications
 
 </li>
 </ul>
 
 Professional Skills
 
 <ul>
 <li>
 Strong analytical and problem-solving abilities
 </li>
 <li>
 Experience working in
 
 Agile environments
 
 </li>
 <li>
 Strong collaboration and communication skills
 </li>
 </ul>
 
 Preferred Qualifications
 
 <ul>
 <li>
 Experience testing
 
 mobile banking or fintech applications
 
 </li>
 <li>
 Experience with
 
 CI/CD tools (Jenkins, GitLab CI/CD, or similar)
 
 </li>
 <li>
 Experience with
 
 test reporting tools
 
 </li>
 <li>
 Knowledge of
 
 performance or security testing
 
 </li>
 </ul>
 
 
</div>

Software Automation Test Engineer

<div>
 
 
 About the Role
 
 
 
 We are looking for an experienced
 
 Project Manager &ndash; Data, Analytics &amp; AI
 
 to lead and coordinate projects across our data and analytics initiatives.
 
 
 In this role, you will work closely with
 
 data engineers, data analysts, and AI/ML teams
 
 to ensure the successful delivery of data-driven solutions that support business decision-making and innovation across our digital banking platform.
 
 
 The ideal candidate has strong experience managing
 
 data and analytics projects
 
 , coordinating cross-functional technical teams, and delivering complex technology initiatives.
 
 
 Key Responsibilities
 
 
 Project Management
 
 <ul>
 <li>
 Lead end-to-end delivery of
 
 data, analytics, and AI-related projects
 
 .
 </li>
 <li>
 Define project scope, timelines, milestones, and deliverables.
 </li>
 <li>
 Ensure projects are delivered
 
 on time, within scope, and within budget
 
 .
 </li>
 </ul>
 
 Collaboration
 
 <ul>
 <li>
 Work closely with
 
 data engineers, data scientists, analysts, and product teams
 
 .
 </li>
 <li>
 Facilitate communication between technical teams and business stakeholders.
 </li>
 </ul>
 
 Data &amp; Analytics Initiatives
 
 <ul>
 <li>
 Manage initiatives related to
 
 data platforms, analytics solutions, and AI models
 
 .
 </li>
 <li>
 Coordinate implementation of data pipelines, reporting tools, and analytics platforms.
 </li>
 </ul>
 
 Monitoring &amp; Reporting
 
 <ul>
 <li>
 Track project progress and ensure alignment with business objectives.
 </li>
 <li>
 Identify risks, dependencies, and potential bottlenecks.
 </li>
 </ul>
 
 Process Optimization
 
 <ul>
 <li>
 Improve project delivery processes and data team collaboration.
 </li>
 <li>
 Ensure alignment with
 
 Agile or hybrid delivery frameworks
 
 .
 </li>
 </ul>
 
 
 Required Qualifications
 
 
 
 
 Experience
 
 
 <ul>
 <li>
 Minimum
 
 3+ years of experience in project management
 
 </li>
 <li>
 Proven experience managing
 
 data, analytics, or technology projects
 
 </li>
 <li>
 Project management certifications such as
 
 PMP, PRINCE2, or Agile certifications
 
 </li>
 </ul>
 
 
 Technical Understanding
 
 
 <ul>
 <li>
 Strong understanding of
 
 data platforms, analytics tools, or AI/ML workflows
 
 </li>
 <li>
 Experience working with
 
 data engineering or analytics teams
 
 </li>
 </ul>
 
 Methodologies
 
 <ul>
 <li>
 Experience with
 
 Agile, Scrum, or hybrid project management frameworks
 
 </li>
 </ul>
 
 Professional Skills
 
 <ul>
 <li>
 Strong stakeholder management skills
 </li>
 <li>
 Excellent communication and leadership abilities
 </li>
 <li>
 Strong analytical and problem-solving skills
 </li>
 </ul>
 
 Preferred Qualifications
 
 <ul>
 <li>
 Experience in
 
 data analytics, AI, or machine learning projects
 
 </li>
 <li>
 Experience working in
 
 financial services, fintech, or digital banking
 
 </li>
 <li>
 Familiarity with
 
 data platforms, data warehouses, or BI tools
 
 </li>
 </ul>
 
 
</div>

Project Manager – Data, Analytics & AI

<div>
 
 About the Role
 
 
 We are looking for a motivated
 
 Data Engineer
 
 to join our
 
 Data Management and AI team
 
 and contribute to building scalable data platforms that power analytics and AI initiatives across our digital banking ecosystem.
 
 
 In this role, you will design and develop
 
 data pipelines, streaming infrastructure, and data warehouse solutions
 
 that enable reliable and high-performance data processing.
 
 
 This is an excellent opportunity for a
 
 junior data engineer
 
 looking to grow within a fast-paced fintech environment while working on modern data technologies.
 
 
 Team Overview
 
 
 The
 
 Data Management and AI team
 
 works across the entire technology stack within QNBeyond Plus.
 
 
 Our team collaborates with engineering, analytics, and product teams to manage, process, and analyze data that enables innovative digital banking experiences for our customers.
 
 
 Key Responsibilities
 
 
 Data Pipeline Development
 
 <ul>
 <li>
 Design and build scalable
 
 data pipelines for batch and real-time processing
 
 .
 </li>
 <li>
 Implement ETL/ELT workflows integrating data from
 
 APIs, databases, and event streams
 
 .
 </li>
 </ul>
 
 Streaming &amp; Event Processing
 
 <ul>
 <li>
 Develop and maintain
 
 streaming data pipelines using tools such as Kafka or similar platforms
 
 .
 </li>
 <li>
 Ensure
 
 low-latency, reliable, and fault-tolerant data delivery
 
 .
 </li>
 </ul>
 
 Data Transformation
 
 <ul>
 <li>
 Develop
 
 data enrichment and transformation workflows
 
 to convert raw data into business-ready datasets.
 </li>
 <li>
 Implement SQL transformations across layered architectures (
 
 raw &rarr; bronze &rarr; silver &rarr; gold
 
 ).
 </li>
 </ul>
 
 Data Warehouse Development
 
 <ul>
 <li>
 Design and maintain
 
 data warehouse models and schemas
 
 .
 </li>
 <li>
 Optimize query performance and storage design for analytical workloads.
 </li>
 </ul>
 
 Data Quality &amp; Reliability
 
 <ul>
 <li>
 Implement
 
 data validation and quality checks
 
 .
 </li>
 <li>
 Monitor data pipeline performance and ensure reliability.
 </li>
 </ul>
 
 Collaboration
 
 <ul>
 <li>
 Work closely with
 
 engineering, analytics, and product teams
 
 to deliver production-ready data solutions.
 </li>
 </ul>
 
 What We Are Looking For
 
 
 You must be:
 
 <ul>
 <li>
 
 Self-motivated
 
 , proactive, and results-driven
 </li>
 <li>
 A
 
 team player
 
 who enjoys collaboration and learning
 </li>
 <li>
 A
 
 problem solver
 
 who approaches challenges analytically
 </li>
 <li>
 
 Customer-oriented
 
 , committed to delivering high-quality data solutions
 </li>
 <li>
 
 Detail-oriented
 
 , especially regarding data quality and compliance
 </li>
 <li>
 Adaptable and eager to grow in a
 
 fast-paced fintech environment
 
 </li>
 </ul>
 
 Required Qualifications
 
 
 Education
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in
 
 Computer Science, Computer Engineering, or related field
 
 </li>
 </ul>
 
 Technical Knowledge
 
 <ul>
 <li>
 Understanding of
 
 computer systems and cloud environments
 
 </li>
 <li>
 Understanding of
 
 network protocols and system connectivity
 
 </li>
 </ul>
 
 Systems Skills
 
 <ul>
 <li>
 Experience using
 
 Linux command line tools
 
 </li>
 <li>
 Familiarity with
 
 SSH, SFTP, Bash, IP, ports, and networking concepts
 
 </li>
 </ul>
 
 Data Engineering Skills
 
 <ul>
 <li>
 Experience developing and optimizing
 
 ETL/ELT pipelines
 
 </li>
 <li>
 Experience with tools such as
 
 Informatica PowerCenter, Kafka, NiFi, or similar
 
 </li>
 </ul>
 
 Data &amp; Analytics
 
 <ul>
 <li>
 Strong
 
 SQL skills
 
 </li>
 <li>
 Understanding of
 
 data warehousing concepts and schema design
 
 </li>
 <li>
 Experience with
 
 data modeling and data lifecycle management
 
 </li>
 </ul>
 
 Programming
 
 <ul>
 <li>
 Programming experience using
 
 Python
 
 </li>
 <li>
 Scripting experience using
 
 Bash or similar tools
 
 </li>
 </ul>
 
 Experience
 
 <ul>
 <li>
 
 2+ years of experience working with ETL or data engineering workflows
 
 </li>
 <li>
 Experience with
 
 Informatica PowerCenter and MDM
 
 </li>
 <li>
 Experience developing and scaling
 
 data models within modern data warehouse architectures
 
 </li>
 <li>
 Experience implementing
 
 data enrichment and transformation logic
 
 </li>
 <li>
 Experience optimizing queries and storage design for analytics workloads
 </li>
 <li>
 At least
 
 1 year of experience in fintech, regulated environments, or PCI/DSS compliance
 
 is preferred
 </li>
 <li>
 Familiarity with
 
 performance monitoring tools
 
 </li>
 </ul>
</div>

Data Engineer

<div>
 
 About the Role
 
 
 We are looking for a talented
 
 Java Backend Developer
 
 to join our engineering team and contribute to building scalable, high-performance backend services for our digital banking platform.
 
 
 The ideal candidate will have strong experience in
 
 Java and Spring Boot
 
 , building
 
 microservices-based architectures
 
 , and developing secure, scalable APIs. You will work closely with product managers, architects, and frontend engineers to deliver reliable and efficient backend systems that power modern digital banking solutions.
 
 
 Key Responsibilities
 
 
 Backend Development
 
 <ul>
 <li>
 Design, develop, and maintain backend services using
 
 Java and Spring Boot
 
 .
 </li>
 <li>
 Build scalable
 
 microservices architectures
 
 supporting high-volume digital platforms.
 </li>
 <li>
 Develop and maintain
 
 RESTful APIs
 
 for internal and external integrations.
 </li>
 </ul>
 
 System Architecture
 
 <ul>
 <li>
 Contribute to system design and backend architecture decisions.
 </li>
 <li>
 Ensure high availability, performance, and scalability of backend services.
 </li>
 <li>
 Implement secure coding practices aligned with enterprise security standards.
 </li>
 </ul>
 
 Integration
 
 <ul>
 <li>
 Integrate backend services with internal systems and third-party platforms.
 </li>
 <li>
 Work with messaging systems such as
 
 Kafka
 
 or other event-driven technologies.
 </li>
 </ul>
 
 Collaboration
 
 <ul>
 <li>
 Collaborate closely with frontend developers, product managers, and QA teams.
 </li>
 <li>
 Participate in
 
 Agile/Scrum development processes
 
 .
 </li>
 </ul>
 
 Performance &amp; Quality
 
 <ul>
 <li>
 Write clean, maintainable, and testable code.
 </li>
 <li>
 Troubleshoot and optimize application performance.
 </li>
 <li>
 Ensure code quality through testing, code reviews, and CI/CD pipelines.
 </li>
 </ul>
 
 Required Qualifications
 
 
 Experience
 
 <ul>
 <li>
 3&ndash;7 years of experience in
 
 Java backend development
 
 .
 </li>
 <li>
 Strong experience with
 
 Spring Boot and microservices architecture
 
 .
 </li>
 <li>
 Proven experience building
 
 REST APIs
 
 .
 </li>
 </ul>
 
 Technical Skills
 
 <ul>
 <li>
 Java
 </li>
 <li>
 Spring Boot
 </li>
 <li>
 Microservices architecture
 </li>
 <li>
 RESTful API development
 </li>
 <li>
 SQL and relational databases (PostgreSQL, MySQL, or similar)
 </li>
 <li>
 Git version control
 </li>
 <li>
 Docker / containerization
 </li>
 <li>
 CI/CD pipelines
 </li>
 </ul>
 
 Security &amp; Integration
 
 <ul>
 <li>
 Authentication and authorization frameworks (
 
 OAuth2, JWT
 
 )
 </li>
 <li>
 API security best practices
 </li>
 </ul>
 
 Professional Skills
 
 <ul>
 <li>
 Strong problem-solving and analytical skills
 </li>
 <li>
 Ability to work in
 
 Agile environments
 
 </li>
 <li>
 Strong communication and collaboration skills
 </li>
 </ul>
 
 Preferred Qualifications
 
 <ul>
 <li>
 Experience with
 
 event-driven architectures
 
 (Kafka or similar)
 </li>
 <li>
 Experience with
 
 cloud platforms or container orchestration (Kubernetes)
 
 </li>
 <li>
 Experience building
 
 high-availability enterprise systems
 
 </li>
 <li>
 Experience in
 
 digital banking, fintech, or financial services platforms
 
 </li>
 </ul>
 
 
</div>

Java Backend Developer

Join QNBeyond Plus and explore 4   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.

QNBeyond Plus

About Company

Software Automation Test Engineer

Project Manager – Data, Analytics & AI

Data Engineer

Java Backend Developer