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.

<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 | Java | Python

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

<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>

Data Engineer [Python & SQL]

Job Details:

The Data Engineer will focus on using various methods to design and implement an overall data infrastructure that will support current and future business needs. The data engineer is also tasked in creating data pipelines that transform raw data for analytical and operational processes.

<ul>
	<li>Design and build scalable big data infrastructure and solutions, leveraging available cloud resources</li>
	<li>Design, create and maintain ETL processes and data pipelines for functions such as but not limited to reporting and machine learning</li>
	<li>Collaborate with different cross functional teams to determine and satisfy business data requirements taking into account various technology stacks</li>
	<li>Optimize and automate existing current business processes and procedures</li>
	<li>Create and present ad hoc reports to key stakeholders</li>
</ul>

Data Engineer [Python & SQL] ⁿ

Job Description:

<ul>
	<li>Design and build scalable big data infrastructure and solutions, leveraging available cloud resources</li>
	<li>Design, create and maintain ETL processes and data pipelines for functions such as but not limited to reporting and machine learning</li>
	<li>Collaborate with different cross functional teams to determine and satisfy business data requirements taking into account various technology stacks</li>
	<li>Optimize and automate existing current business processes and procedures</li>
	<li>Create and present ad hoc reports to key stakeholders</li>
</ul>

Data Engineer .Python. SQL. ETL.

Data Engineer [ ETL | Python | SQL ]

Collect, clean, and analyze large datasets from multiple sources.

Write efficient SQL queries for data extraction, transformation, and reporting.

Build and maintain interactive dashboards and reports using Power BI.

Use Python for data manipulation, automation, and advanced analytics.

Translate complex data into actionable insights for business teams.

Collaborate with cross-functional teams to understand data needs and deliver solutions.

Ensure data integrity and accuracy across all reports and analyses.

Monitor performance metrics and flag anomalies or trends.

Data Analyst | Python AND PowerBI

The Data Engineer will focus on using various methods to design and implement an overall data infrastructure that will support current and future business needs. The data engineer is also tasked in creating data pipelines that transform raw data for analytical and operational processes.

<ul>
	<li>Design and build scalable big data infrastructure and solutions, leveraging available cloud resources</li>
	<li>Design, create and maintain ETL processes and data pipelines for functions such as but not limited to reporting and machine learning</li>
	<li>Collaborate with different cross functional teams to determine and satisfy business data requirements taking into account various technology stacks</li>
	<li>Optimize and automate existing current business processes and procedures</li>
	<li>Create and present ad hoc reports to key stakeholders</li>
</ul>

Data Engineer with 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}

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}

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}

Fullstack Developer

Duties and Resp

<ul>
	<li>Supports the conversion of the technical component design into a working back-end code and/or front-end code.</li>
	<li>Delivers projects on time and budget consistently. </li>
	<li>Applies generally accepted programming standards and techniques to assure efficient program logic and data manipulation consistently.</li>
	<li>Creates and maintains Unit tests before endorsing the application for QA Test.</li>
	<li>Diagnoses and resolve software problems quickly and efficiently.</li>
	<li>Participates in reviewing project requirements.</li>
	<li>Manages the deployment of the application to different staging environments.</li>
	<li>Maintains and handles project source code repositories.</li>
	<li>Provides an accurate project status report to the Project Manager.</li>
	<li>Keep abreast of technology trends with relation to system or software development trends as much as possible.</li>
	<li>Other job-related activities may be assigned from time to time.</li>
</ul>

.Java Developer

Duties and Responsibilities: 

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

<ul>
	<li>Expert knowledge and understanding of software development design patterns, end-to-end system quality management and software lifecycle management methodologies.</li>
	<li>Translate business requirements and system requirements into detailed technical specifications or business features and user stories using the SAFe Agile framework</li>
	<li>Writing software code, automated unit tests, and debugging the code to delivery documented working software that meets the requirements in accordance to client's secure code practices, policies and established coding standards</li>
	<li>Provide technical coaching, mentoring and guidance to other developers</li>
	<li>Design application solutions that meet complex business requirements, modelling the solution and implement code reviews and other quality management practices across a team of developers.</li>
	<li>Implement software development design patterns to deliver on complex technical requirements to deliver well-engineered working software that is scalable, resilient, maintainable, performant, secure, fault-tolerant, portable, extensible, reusable, testable and easy to use.</li>
	<li>Design and execute complex application testing for functional and non-functional testing including stress and load testing, building test doubles/hubs, test management data, regression testing and complex scenario and use case management.</li>
</ul>

Work Set-up: Hybrid (2x a week RTO)

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