Yondu is a Philippine-based IT solutions company owned by Globe Telecom. We empower businesses across various industries through a wide array of innovative technology solutions to help them scale in the new digital economy. Our mission is to create happier technological experiences by turning great ideas into excellent and valuable business solutions.
If you’re looking to advance your career in the IT industry, Yondu is the best place to be. You will be a part of a young, dynamic culture that always pursues innovation and growth. As a Yondude, you’ll gain fresh perspectives from a team of knowledgeable and competitive individuals and learn how to develop cutting-edge business solutions that go above and beyond. You’ll also enjoy collaborating with brilliant and fun people who are ready to take on the world.
Established in 2001, our company has grown exponentially, and we’re always on the lookout for highly skilled and competitive individuals to innovate and evolve with. If this sounds exciting for you, #BeAYondude, and leverage your expertise to help us achieve our ultimate goal of going above and beyond!
Join us and grow your career in the IT industry!

YONDU INC.

Key responsibilities

Develop and maintain code: Write clean, scalable, and efficient Python code for new features and existing systems.

Build back-end systems: Create and improve back-end components to enhance responsiveness and performance.

Integrate applications: Seamlessly connect user-facing elements with back-end logic and other third-party services.

Test and debug: Test software, identify and fix bugs, and ensure the application runs smoothly across platforms.

Collaborate with teams: Work with designers, project managers, and other engineers to understand requirements and deliver technical solutions.

Implement security: Develop and implement security and data protection solutions to safeguard applications.

Optimize performance: Suggest and implement improvements to enhance application performance and scalability.

Automate tasks: Write scripts to automate repetitive tasks and improve efficiency.

Manage code repositories: Maintain and handle project source code repositories.

Python Developer

<ul>
	<li>Participate in regular backlog refinement providing your valuable developer’s insight and enhancing your designing skills</li>
	<li>Regular sprint planning that should protect you from over working and practice your time management skills</li>
	<li>Of course, develop crazy technology and implement simplified business logics in order to provide our customers with better experience</li>
	<li>Do seasonal Research and Development or what we call Innovation Sprints to allow you to uplift you technical skills</li>
	<li>Work with the program and project management team in providing them clarity on the timelines on the great technical development work you’re doing</li>
	<li>Keep the entire Payment Services ecosystem running smoothly by hunting (and fixing) those bugs and errors</li>
</ul>

Fullstack Developer {ReactJS, NodeJS, Java, Javascript, Python}

• Scripting and programming: Python, Bash, GO, Templating engine (Jinja2, Go) 
• Intermediate networking skills: knowledge of protocols (HTTP,HTTPS, DNS, and general TCP/IP) 
• Advanced knowledge in (Docker) Image building 
• Kubernetes deployments (including HELM templating) 
• Familiarity of the Reverse Proxy concept, knowledge of Envoy would be great! 
• CI/CD GitHub Actions, alternatively AWS CodeBuild 
 
Activities: 
• Design, development &amp; delivery of updates to existing container images and pipeline, as part of 
• small team. 
•  Write and maintain Perl/Python and Shell scripts to automate processes and enhance productivity. 
• Develop in Golang and similar programming languages. Deploy using Docker, Helm, and Kubernetes 
• pipelines. 
• Execute with an enterprise cloud mindset to deliver on security guidelines, compliance guidelines, 
• and infrastructure initiatives with engineering program management. 
 
Requirements 
• Professional software development experience. 
• Ability to write clean and scalable code using Golang, Python, Groovy, or similar technologies. 
• Ability to maintain existing Perl scripts for process automation required. 
• Prior experience with Docker, Git, Bash. 
• Prior usage of pipelines (CodeBuild), YAML, Templating (Jinja, GO templates), and networking 
• concepts required. 
• Experience with Docker, Helm, Kubernetes, and knowledge of hyperscaler primitives required. 
• Alignment of work schedule with either North American business day or EMEA business day. 
•  DevOps mentality with an understanding of Continuous Integration, Continuous Delivery, Monitoring and Observability. 
• ·Experience in CI/CD and devops tools like Jenkins, Artifactory, Docker, Vault preferred. 
• ·Hands-on experience with cloud native solutions is preferred. 
• ·Excellent communication in English. 
 
Developer (Python) – Must-Have Technical Skills: 
 
- Proficient in Python and Bash scripting 
- Strong in data structures, algorithms, design, and coding 
- Experience with cloud-native services 
- Development using public cloud APIs 
- Experience in Linux 
- Familiarity with JIRA and GitHub 
 
Number of years experiences needed: minimum 3 years 
 
Shift Schedule: (night shift) 12am to 10am ; may vary depending on client needs 
Work Set up: Hybrid 
Number of days in a month or week that needs to be in the office: Standard for the project is 2 times a week – Wed and Thu; but for night shift workers it is with exception of once every 2 months. Again, subject to change depending on client needs 
Location (During onsite): Uptown 2

Python

Python Programming Language

<ul>
	<li>Design and implement AI workflows using LangGraph and LangChain, including agent orchestration and state management.</li>
	<li>Build and optimize Python-based pipelines for AI applications.</li>
	<li>Develop and deploy RAG (Retrieval-Augmented Generation) solutions to improve accuracy, grounding, and reliability of LLM responses.</li>
	<li>Integrate AI components into APIs and backend services for production use.</li>
	<li>Collaborate with product, data, and engineering teams to deliver scalable AI-powered features.​​​​​</li>
</ul>

.Software Engineer [Langchain | Langgraph | Python].

Key Responsibilities:

<ul>
	<li>Data Transformation: Utilize SQL and Python scripting to clean, transform, and aggregate complex, messy datasets from various sources, preparing them for analysis.</li>
	<li>ETL Support: Collaborate with Data Engineering to monitor, troubleshoot, and optimize data loading and transformation workflows (ETL/ELT)</li>
	<li>Reporting &amp; Visualization: Design, develop, and maintain high-impact dashboards and reports using Power BI to track key business metrics (KPIs).</li>
	<li>Advanced Calculation: Apply DAX (Data Analysis Expressions) to create sophisticated measures, calculated columns, and complex aggregations within Power BI models.</li>
	<li>Business Insight: Conduct deep-dive analyses to identify trends, root causes, and business opportunities, presenting findings clearly to non-technical stakeholders.</li>
	<li>Data Governance: Ensure data accuracy, consistency, and compliance across all reports and analyses.</li>
</ul>

Data Analyst [ ETL | Python | SQL]

The tasks/responsibilities that the role performs to address requirements in Key Result Areas:

<ul>
	<li>Implement and manage tools and applications that enhance productivity and user experience on enterprise data platforms, such as data warehouse tools, data access management tools, metadata management tools (including data catalogs and lineage tracking), and data quality monitoring tools</li>
	<li>Configure and implement security modules of enterprise data platforms to ensure controlled and encrypted network access, encrypted storage, data masking, and data integrity, including data validation, quality checks, integrity constraints, and checksums/hashing for accuracy and trustworthiness.</li>
	<li>Develop and maintain the data lifecycle management, specifically backup, archiving, recovery, and purging data from enterprise data platforms.</li>
	<li>Proactively identify and implement API-driven automation solutions to streamline data security, access controls, metadata management, and data lifecycle management processes on enterprise data platforms</li>
</ul>

The Knowledge, Skills, and Behaviors indicating how tasks/responsibilities will be performed:

<ul>
	<li>Strong understanding of data management and governance practices, including metadata management, data quality management, master data management, and data lifecycle management</li>
	<li>Ability to collaborate with diverse stakeholders and effectively communicate technical concepts to both technical and non-technical audiences.</li>
	<li>Keeps up-to-date with the latest technologies and trends in data security, access control, automation, data lifecycle management, and metadata management</li>
	<li>Proficient in Python programming to automate data security and access control tasks, metadata management, and data lifecycle management processes. This includes developing and maintaining automation scripts, as well as building web applications and tools using frameworks like Django to enhance the enterprise data platform functionality and user experience.</li>
	<li>Ability to analyze complex data challenges and design effective solutions.</li>
	<li>Flexibility to learn new tools, adapt to changing technologies, and solve unexpected challenges.</li>
</ul>

Data Cloud Engineer {Python I SQL}

<ul>
	<li>Develop and implement advanced data analysis techniques to optimize efficiency and quality.</li>
	<li>Prepare and present detailed reports, dashboards, and visualizations of operational results for stakeholders.</li>
	<li>Interpret data using analytics and statistical methods, providing insights and recommendations.</li>
	<li>Lead the full lifecycle of analytics projects, from requirements gathering to design and execution.</li>
	<li>Evaluate key performance indicators and provide ongoing reports to support decision-making.</li>
	<li>Collaborate with cross-functional teams to ensure data integrity and alignment with business goals.</li>
	<li>Stay updated on industry trends and emerging technologies in data analysis and analytics tools.</li>
	<li>Conducted data quality assessments and implemented improvements as needed.</li>
	<li>Support the development and implementation of data governance policies and procedures.</li>
	<li>Mentor junior analysts and provide training on data analysis techniques and tools.</li>
	<li>Other job-related activities may be assigned from time to time.</li>
</ul>

*Data Analyst* {With PowerBI, Tableau, Sql & Python}

Job Description:

<ul>
	<li>The Data Engineer is expected to work with the Team in delivering and supporting Data Analytics Requirements. The resource is expected to collaborate with various stakeholders to deliver needed solutions across the organization. Technical expertise is highly expected from the resource to provide solutions and architecture as needed.</li>
</ul>

Job Requirements:

<ul>
	<li>Must have at least 3 years Relevant experience in Data Engineering.</li>
	<li>Development in Azure Data Factory is a priority but experience with Cloud ETL Looks such as AWS Glue or GCP Cloud Data Fusion/Flow is alo considered.</li>
	<li>Python programming skills in Data Analytics/Big Data is a must.</li>
	<li>Cloud Data Engineering skills in Azure (preferred), AWS, and/or GCP is a must.</li>
	<li>Must have experience working in enterprise environment with Data Warehouse/Data Lake/Data Lakehouse environment.</li>
	<li>Modern Data Architecture and Data Modeling experience.</li>
	<li>Worked on at least 2 enterprise scale projects as a Data Engineer.</li>
	<li>PowerBI or knowledge on BI tools is a must.</li>
	<li>Good communication and writing skills.</li>
	<li>Ability to manage stakeholders.</li>
	<li>Independent can work on his/her own with minimal to zero supervision.</li>
	<li>Machine Learning/AI understanding is nice to have.</li>
</ul>

[Mid to Senior] Data Engineer, ETL, Python

The tasks/responsibilities that the role performs to address requirements in Key Result Areas:

<ul>
	<li>Implement and manage tools and applications that enhance productivity and user experience on enterprise data platforms, such as data warehouse tools, data access management tools, metadata management tools (including data catalogs and lineage tracking), and data quality monitoring tools</li>
	<li>Configure and implement security modules of enterprise data platforms to ensure controlled and encrypted network access, encrypted storage, data masking, and data integrity, including data validation, quality checks, integrity constraints, and checksums/hashing for accuracy and trustworthiness.</li>
	<li>Develop and maintain the data lifecycle management, specifically backup, archiving, recovery, and purging data from enterprise data platforms.</li>
	<li>Proactively identify and implement API-driven automation solutions to streamline data security, access controls, metadata management, and data lifecycle management processes on enterprise data platforms</li>
</ul>

 

The Knowledge, Skills, and Behaviors indicating how tasks/responsibilities will be performed:

<ul>
	<li>Strong understanding of data management and governance practices, including metadata management, data quality management, master data management, and data lifecycle management</li>
	<li>Ability to collaborate with diverse stakeholders and effectively communicate technical concepts to both technical and non-technical audiences.</li>
	<li>Keeps up-to-date with the latest technologies and trends in data security, access control, automation, data lifecycle management, and metadata management</li>
	<li>Proficient in Python programming to automate data security and access control tasks, metadata management, and data lifecycle management processes. This includes developing and maintaining automation scripts, as well as building web applications and tools using frameworks like Django to enhance the enterprise data platform functionality and user experience.</li>
	<li>Ability to analyze complex data challenges and design effective solutions.</li>
	<li>Flexibility to learn new tools, adapt to changing technologies, and solve unexpected challenges.</li>
</ul>

Data Platform Engineer {Cloud I Python I SQL}

General Responsibiities: 
 
It will ensure the seamless operation and optimization of data pipelines and platforms under Project Ultron. The role entails troubleshooting data pipeline issues, conducting rigorous testing, coordinating delivery across teams, and collaborating closely with Data Science and Marketing to uphold platform reliability and performance. 
 
Duties and responsibilities: 
● Collaborate with the Data Science team to identify, troubleshoot, and resolve data pipeline issues. 
● Conduct thorough end-to-end testing of data pipelines across all environments (development, staging, production). 
● Prepare and deliver comprehensive Root Cause Analyses (RCAs) for data-related incidents. 
 
Troubleshooting and Firefighting 
● Maintain proactive communication with the Marketing team throughout the resolution of bugs and hotfixes. 
● Document issues and remediation actions in detailed RCA documentation for transparency and future reference. 
 
Delivery Platform Coordination 
● Raise and track prediction data delivery issues across internal and external platforms. ● Coordinate closely with Marketing, Data Science, and Platform Tech Support teams for resolution and alignment. 
● Assist in building and maintaining egress pipelines from Project Ultron to delivery platforms. 
● Promote adherence to platform engineering best practices and documentation standards. 
● Participate in sprint planning and regular stand-ups with cross-functional teams. 
 
Platform Maintenance and Monitoring 
● Support the upkeep and monitoring of Project Ultron’s platform infrastructure. 
● Identify opportunities for performance tuning, reliability enhancements, and availability improvements. 
● Ensures platform integrity, stability, and data delivery continuity across projects. 
● Contribute to the automation of monitoring and maintenance tasks.

Cloud AWS {Python I SQL I Data management}

About the role: 
 
YONDU INC.' is seeking a talented Software Engineer (Java) to join our dynamic team. As a Java Software Engineer, you will play a vital role in developing and enhancing our cutting-edge software solutions. This is a full-time position based in Taguig City Metro Manila, with opportunities for growth and development within our fast-paced technology organisation.

What you'll be doing:

Design, develop, and maintain high-quality Java-based applications and systems

Collaborate with cross-functional teams to understand requirements and translate them into technical solutions

Participate in the entire software development lifecycle, including requirements analysis, design, coding, testing, and deployment

Identify and resolve complex technical issues, ensuring the stability and performance of our software products

Implement best practices in software engineering, such as code standards, testing, and version control

Stay up-to-date with the latest Java technologies, frameworks, and industry trends

Mentor and guide junior team members, sharing your knowledge and expertise

Java Developer

<ul>
	<li class="text-justify">Writes working back-end, front-end, and/or mobile code using generally accepted standards and best practices</li>
	<li class="text-justify">Resolves defects found in the code</li>
	<li class="text-justify">Writes and conducts unit tests before endorsing to the QA team</li>
	<li class="text-justify">Submits and maintains source code using version control system repositories</li>
	<li class="text-justify">Participates in code reviews and quality assurance activities</li>
	<li class="text-justify">Attends team meetings</li>
	<li class="text-justify">Reports task status to immediate supervisor or project lead</li>
</ul>

Fullstack Developer

<ul>
	<li>Design, develop, and deploy custom applications and functionality using Apex, Visualforce, and Lightning Web Components (LWC).</li>
	<li>Work with business stakeholders to understand and translate business requirements into technical solutions on the Salesforce platform.</li>
	<li>Implement integrations between Salesforce and other systems or third-party applications using various APIs and integration patterns.</li>
	<li>Utilize code (Apex Triggers/Classes) and declarative tools (Flow) to implement complex business logic and process automation.</li>
	<li>Write clean, well-documented, and efficient code; conduct thorough unit testing and participate in code reviews to ensure quality and adherence to best practices.</li>
	<li>Troubleshoot, debug, and resolve issues within the Salesforce application and maintain the long-term health and stability of the platform.</li>
	<li>Design and maintain the data model, perform data migrations, and ensure data integrity and security.</li>
	<li>Create and maintain technical documentation related to code, architecture, and system design.</li>
</ul>

Salesforce Developer

What you'll be doing:

Design, develop, and maintain high-quality, scalable software applications using Java and AWS technologies

Collaborate with cross-functional teams to understand requirements, identify solutions, and deliver innovative products

Optimize system performance, availability, and security through the application of best practices and industry standards

Participate in the full software development life cycle, including requirements gathering, design, coding, testing, and deployment

Proactively identify and address technical challenges, suggesting improvements and implementing new features

Continuously learn and stay up-to-date with the latest trends, tools, and methodologies in software engineering

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