Founded in 1987, Questronix Corporation has grown to be one of the largest IT solution provider and systems integrator in the Philippines. We offer best of breed solutions from IT infrastructure to business applications, built on world class technology companies and supported by our certified technical team with proven Filipino expertise and skills available in the country today.

In 1990, Questronix was appointed by IBM as its first business partner for IBM UNIX platform and the company evolved in providing end-to-end solutions that run on IBM technology. After a decade of investment, skills and commitment in working with IBM, Questronix was awarded the Premier Business Partner status, making our company the first Business Partner in the country to be elevated to this exclusive circle.

Our methodology on selecting our technology partners and implementation team for our services ecosystem allows us to deliver consulting-led systems integration focused on open standards, interoperability and proven best practices that result in higher project success rates.

Today, Questronix’s solutions suite include Data Center & IT infrastructure, IT Service Management, Security, Business Continuity, Hybrid Cloud Solutions, Mobility Solutions, Enterprise Resource Planning, Business Analytics, Enterprise Asset Management, Enterprise Content Management, Information and Data Management, Business Process Management and Industry Specific Solutions.

Approaching its 34th year in business, Questronix Corporation continuously strives to improve and evolve coupled by its enduring drive to deliver Filipino excellence and workmanship to its clients. As such, it has earned prestigious awards and recognitions – a proud testimony to its achievements that have firmly etched its name in the IT corporate landscape.

Questronix Corporation

Job Description:

<ul>
	<li>Understand the needs of the client and Implement functional requirements accordingly.</li>
	<li>Help in designing the software.</li>
	<li>Build back-end features in Python-Django that are efficient.</li>
	<li>Integrate front-end and back-end components into the application.</li>
	<li>Supervise the testing of software and ensure that all the bugs are fixed.</li>
	<li>Develop technical reports for the software.</li>
	<li>Implement designs into code by collaborating with UX/UI designers.</li>
	<li>Keep suggesting improvements and ways to enhance the functioning of the software.</li>
</ul>

Python Developer

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 class="text-justify"> Expected to perform independently and become an SME.</li>
	<li class="text-justify">Required active participation/contribution in team discussions.</li>
	<li class="text-justify">Contribute in providing solutions to work-related problems.</li>
	<li class="text-justify">Develop and maintain automated test scripts.</li>
	<li class="text-justify">Execute test cases and analyze results.</li>
	<li class="text-justify">Collaborate with cross-functional teams to ensure quality deliverables.</li>
	<li class="text-justify">Identify areas for process improvement and implement solutions.</li>
	<li class="text-justify">Stay updated on industry trends and best practices. 
	 </li>
</ul>

<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}

<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 and SQL]

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, SQL, Python]

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

Data Engineer [ ETL | Python | SQL ]

Data Analyst collects, analyzes, and interprets data to provide actionable insights that help businesses make better decisions. They use statistical methods and data visualization tools to identify trends, patterns, and anomalies in data, ultimately translating complex data into understandable information.

Data Analyst [SQL, Python] ⁿ

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}

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}

Job Description:

<ul>
	<li>Build pixel-perfect, buttery smooth UIs across both mobile platforms.</li>
	<li>Leverage native APIs for deep integrations with both platforms.</li>
	<li>Diagnose and fix bugs and performance bottlenecks for performance that feels native.</li>
	<li>Reach out to the open source community to encourage and help implement mission- critical software fixes—React Native moves fast and often breaks things.</li>
	<li>Maintain code and write automated tests to ensure the product is of the highest quality.</li>
	<li>Transition existing React web apps to React Native.</li>
</ul>

React Developer

<ul>
	<li>
	Assisting in the development and design of automation projects using OutSystems Multi-Experience Development Platform
	</li>
	<li>
	Writing and maintaining code
	</li>
	<li>
	Performing unit tests
	</li>
	<li>
	Working on bug fixes
	</li>
	<li>
	Other technologies related to building the services may also be assigned
	</li>
</ul>

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Data Engineer [ ETL, SQL, Python]

Data Analyst | Python AND PowerBI

Data Engineer [ ETL | Python | SQL ]

Data Analyst [SQL, Python] ⁿ

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

Data Platform Engineer {Cloud I Python I SQL}

Cloud AWS {Python I SQL I Data management}

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