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>Collect, clean, and analyze large datasets from multiple sources.</li>
	<li>Write efficient SQL queries for data extraction, transformation, and reporting.</li>
	<li>Build and maintain interactive dashboards and reports using Power BI.</li>
	<li>Use Python for data manipulation, automation, and advanced analytics.</li>
	<li>Translate complex data into actionable insights for business teams.</li>
	<li>Collaborate with cross-functional teams to understand data needs and deliver solutions.</li>
	<li>Ensure data integrity and accuracy across all reports and analyses.</li>
	<li>Monitor performance metrics and flag anomalies or trends.</li>
</ul>

Data Analyst

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.

Duties and Responsibilities 

<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.

Job Description:

<ul>
	<li>Develop and maintain machine learning models</li>
	<li>Features Engineering and generation of Analytics Base Tables</li>
	<li>Test data model designs</li>
	<li>Tune Training and testing scripts to run in an efficient manner</li>
	<li>Data Management and Exploration.</li>
	<li>Data Analytics and Modeling:</li>
	<li>Campaign Expertise</li>
	<li>Knowledge Transfer and Collaboration</li>
</ul>

Data Scientist

Job Description:

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.

Job Responsibilities:

Design and build scalable big data infrastructure and solutions, leveraging available cloud resources

Design, create and maintain ETL processes and data pipelines for functions such as but not limited to reporting and machine learning

Collaborate with different cross functional teams to determine and satisfy business data requirements taking into account various technology stacks

Optimize and automate existing current business processes and procedures

Create and present ad hoc reports to key stakeholders

Data Engineer

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.

Data Engineer [Hybrid]

Duties and Responsibilities

Design and build scalable big data infrastructure and solutions, leveraging available cloud resources

Design, create and maintain ETL processes and data pipelines for functions such as but not limited to reporting and machine learning

Collaborate with different cross functional teams to determine and satisfy business data requirements taking into account various technology stacks

Optimize and automate existing current business processes and procedures

Create and present ad hoc reports to key stakeholders

Data Engineer | Mid

Started in 2013, we are the first agency in the Philippines to provide sales and marketing outsourcing solutions through a fully-staffed, ready to dock sales and marketing organization. In less than 5 years, we have serviced some of the biggest brands in the country, such as adidas Philippines, Globe Telecom, Datu Puti, San Remo Pasta, Bridgestone, Meralco, and many more!

Check out more at:
https://www.youtube.com/watch?v=TzmRH_T4Tvs&t=7s

Blue Spark Solutions, Inc.

Do

•Translate business requirements to usable Excel dashboards and visualizations

•Design and execute efficient ETL process and data model that will allow for easy integration of builds like additional calculations and visualization

•Design charts and tools that will enable richer insight

•Create topline analysis on assigned workstreams

Display

•Intellectual horsepower

•Structured &amp; logical thinking (simplifying the complex)

•Strong project management skills

•Creative thinking

•Effective communication

•Proactiveness

•Good storytelling

Deliver

•On-time delivery of dashboards, reports, analysis

•100% accuracy on key category context reports / outputs

Be a model of our three core values: Excellence, Integrity, and Malasakit

Data Analyst | Consumer Insights

<ul>
	<li>Build and manage scalable data pipelines for structured and unstructured data, ensuring data quality, integrity, and availability.</li>
	<li>Design, implement, and maintain MLOps workflows for training, testing, deploying, and monitoring machine learning models.</li>
	<li>Collaborate with data scientists and ML engineers to automate end-to-end machine learning lifecycle processes (CI/CD/CT for ML).</li>
	<li>Develop and manage feature stores, model registries, and metadata tracking tools.</li>
	<li>Ensure system reliability and performance using logging, monitoring, and alerting tools.</li>
	<li>Support infrastructure-as-code (IaC) and cloud automation for model training and inference environments.</li>
	<li>Integrate ML models into production systems using containers (Docker), orchestration tools (Kubernetes), and cloud services.</li>
</ul>

AI Engineering: Data & MLOps Engineer.

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

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}

Welcome to PwC Acceleration Center Manila — where we’re reimagining the possible.

As an integral part of the PwC network, we help redefine how businesses thrive across the US, Europe, and the Asia Pacific by combining the power of our people and technology. We are a community of solvers committed to building trust and delivering sustained outcomes.

With over 3,000 talented professionals, we provide high-quality services in Assurance, Tax, Advisory, and Business Services to PwC member firms in more than 20 countries. Our people work collaboratively to deliver distinctive experiences—anchored in quality, innovation, and care for our clients.

At PwC AC Manila, inclusion and diversity are part of our DNA. We are proud of our balanced workforce, with a 50:50 gender representation at the leadership level. We ensure equitable pay and opportunities for all, champion LGBTQ+ inclusion, and invest in initiatives like Women in Tech to empower underrepresented communities in the digital space.

We are also deeply committed to Environmental, Social, and Governance (ESG) goals—embedding sustainability in everything we do and making a meaningful impact in our communities.

Our evolution reflects our relentless drive to grow, transform, and lead with purpose. By leveraging human ingenuity and technology, we continue to unlock new possibilities—for our clients, our people, and society.

Together, we’re creating a future that’s human-led and tech-powered.

PwC Acceleration Center Manila

Job Summary

A career in our Managed Services team will give you an opportunity to collaborate with many teams to help our clients implement and operate new capabilities, achieve operational efficiencies, and harness the power of technology. Our Application Evolution Services team will provide you with the opportunity to help organizations harness the power of their enterprise applications by optimizing the technology while driving transformation and innovation to increase business performance. We assist our clients in capitalizing on technology improvements, implementing new capabilities, and achieving operational efficiencies by managing and maintaining their application ecosystems. We help our clients maximize the value of their SAP investment by managing the support and continuous transformation of their solutions in the areas of sales, finance, supply chain, engineering, manufacturing and human capital

<ul>
</ul>

Demonstrates a thorough level of abilities with, and/or a proven record of success as both an individual contributor and team member with focus on deep expertise, continuous execution, throughput and quality

The Job Responsibilities

<ul>
	<li>Proficient in overseeing a support ticketing queue with multiple open items, demonstrating strong written and oral communication skills;</li>
	<li>Capable of leading client status meetings and extracting relevant metrics;</li>
	<li>Handles client relationships, confirming effective communication;</li>
	<li>Offers functional and/or technical subject matter expertise;</li>
	<li>Directs process redesign efforts;</li>
	<li>Leads technical and test teams for the implementation of functionality;</li>
	<li>Assists with change activities to confirm business adoption and provides effective user training;</li>
	<li>Manages the whole project lifecycle to confirm timely project delivery;</li>
	<li>Meets with stakeholders throughout the organization to confirm a thorough set of requirements, aligned to business objectives, gaining thorough understanding of current and future state business processes;</li>
	<li>Provides in-depth knowledge of the SAP application and evaluates the customer’s processes against the standard SAP functionality;</li>
	<li>Demonstrates experience in use of SAP, specifically SAP Cloud Analytics in a support/AMS environment;</li>
	<li>Documents the business requirements which express what actions a solution must take and what outcome is expected;</li>
	<li>Responsible for fixes and enhancements to the application to achieve the customer’s business requirements;</li>
	<li>Has industry experience and understands challenges and risks when implementing and supporting vertical applications and localizations;</li>
	<li>Demonstrated ability to Analyze and understand business problems.</li>
	<li>Model data and processes.</li>
	<li>Conduct workshops and training sessions.</li>
	<li>Plan and carry out system and user acceptance testing;</li>
	<li>Familiar with and experienced in:
	<ul>
		<li>Core application functionality</li>
		<li>Implementation Methodology</li>
		<li>Application technology stack;</li>
	</ul>
	</li>
	<li>Prepares and monitors performance reports and implements solutions to improve the system performance;</li>
	<li>Responsible for performing installations, end to end SAP upgrades (SPS, Major SAP version), applying support packages and other support activities;</li>
</ul>

SAP Data & Analytics Support Associate

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.

<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]

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.

Kalibrr Job Search

Data Analyst

Data Analyst

Data Engineer.

Data Scientist

Data Engineer

Data Engineer [Hybrid]

Data Engineer | Mid

Data Analyst | Consumer Insights

AI Engineering: Data & MLOps Engineer.

Data Engineer [Python & SQL] ⁿ

Cloud AWS {Python I SQL I Data management}

SAP Data & Analytics Support Associate

Data Engineer .Python. SQL. ETL.

Data Engineer [Python & SQL]

Data Analyst | Python AND PowerBI