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>Provides expert knowledge of master data in support of Business, Operations, and Technology teams. </li>
	<li>Manages change control processes and systems related to Formula Control. </li>
	<li>Manages processes to maintain current and historical formulation and raw material information files. </li>
	<li>Develops standards, guidelines, and processes to consistently address master data issues such as data standards and data synchronization</li>
	<li>Develops procedures and processes in compliance with current identified and ISO standards while maintaining the integrity and security of the formulations.</li>
	<li>Provides expert knowledge of master data in support of Business, Operations, and Technology teams.</li>
	<li>Develops standards, guidelines, and processes to consistently address master data issues such as data standards and data synchronization.</li>
	<li>Supports in driving efforts for the adoption of the Data Governance policies, master data management principles and policies and their implementation, work closely with different teams to drive adoption, and overcome individual and organizational resistance to change.</li>
	<li>Contributes to research and efforts to understand and document how data should be best managed and used in the MDM based on laws and best practices</li>
	<li>Works with data owners when issues are escalated</li>
	<li>Evaluates escalated issues for potential solutions to resolve</li>
	<li>Determines if an unresolved issue requires further escalation</li>
	<li>Works with all resources to ensure that business rules are implemented properly to support business needs</li>
	<li>Other job-related activities that may be assigned from time to time.</li>
</ul>

Data Engineer {Data Governance}

Responsibilities:

<ul>
	<li>Collect, clean, and analyze large datasets from multiple sources</li>
	<li>Write efficient SQL queries to extract and analyze data</li>
	<li>Develop interactive dashboards and reports using Power BI</li>
	<li>Use Python to automate data analysis and reporting tasks</li>
	<li>Collaborate with business stakeholders to understand reporting needs</li>
	<li>Ensure data accuracy, consistency, and reliability.</li>
</ul>

Nice to Have

<ul>
	<li>Experience with other BI tools (Tableau, Looker, etc.)</li>
	<li>Basic knowledge of ETL processes and data pipelines</li>
</ul>

Data Analyst

What you'll be doing:

Collect, analyse, and interpret complex datasets from various sources to identify patterns, trends, and insights

Build and maintain efficient data models, dashboards, and reporting tools to present data in a clear and meaningful way

Collaborate with cross-functional teams to understand business requirements and translate them into data-driven solutions

Implement data governance protocols to ensure data integrity and security

Stay up-to-date with the latest data analysis tools and techniques to enhance your skills and deliver maximum value

Responsibilities:

<ul>
	<li>Design, develop, and maintain scalable ETL pipelines.</li>
	<li>Extract, transform, and load data from multiple data sources.</li>
	<li>Optimize SQL queries and improve data processing performance.</li>
	<li>Collaborate with Data Analysts and stakeholders to support reporting needs.</li>
	<li>Ensure data quality, integrity, and reliability.</li>
	<li>Document data pipelines and engineering processes.</li>
</ul>

Data Engineer

Data Steward ensures an organization's data is high-quality, secure, and well-managed by implementing governance policies, defining standards, managing metadata, ensuring compliance (like HIPAA/GDPR), and resolving data issues, acting as a bridge between data users and technical teams to support reliable, trustworthy data for decision-making.

.Data Steward.

Data Steward ensures an organization's data is high-quality, secure, and well-managed by implementing governance policies, defining standards, managing metadata, ensuring compliance (like HIPAA/GDPR), and resolving data issues, acting as a bridge between data users and technical teams to support reliable, trustworthy data for decision-making.

Data Steward

<ul>
	<li>Must have at least 3-4 years Relevant experience in Data Engineering.</li>
	<li>Must have w/ 3+ years expereince in SQL, Dataform, Python, BigQuery, Source integrations, transforms, DQ rules, testing</li>
	<li>Development in Azure Data Factory is a priority but experience with Cloud ETL</li>
	<li>Looks such as AWS Glue or GCP Cloud Data Fusion/Flow is alo considered.</li>
</ul>

Senior Data Steward

General Responsibilities:

The Senior Data Architect designs and optimizes data models to meet business needs, industry standards, and best practices. They lead efforts to enhance existing data models, ensuring efficient performance and alignment with overarching strategies. The role also involves guiding Solution Architects, cultivating source system knowledge, and ensuring accurate data mapping for reports and analytics.

Data Architect [Hybrid]

Role Overview 
We are seeking a Data Architect to design, implement, and evolve modern data platform architectures across cloud, hybrid, and enterprise environments. You will work closely with business stakeholders, data engineers, platform teams, and solution architects to translate requirements into scalable and secure architectural designs that enable analytics, governance, and enterprise decision-making.

 

Key Responsibilities 
 

1. Architecture Design

<ul>
	<li>Lead the design of modern data architectures including data lakes, warehouses, and lakehouses.</li>
	<li>Define data integration patterns, ingestion pipelines, ETL/ELT frameworks, and real-time/streaming architectures.</li>
	<li>Develop logical, physical, and conceptual data models aligned with business and analytics requirements.</li>
	<li>Ensure scalability, performance, reliability, and cost-efficiency of data platforms.</li>
</ul>

2. Platform &amp; Solution Design

<ul>
	<li>Design data solutions across on-prem, hybrid and cloud platforms.</li>
	<li>Define storage, compute, security, lineage, and metadata frameworks.</li>
	<li>Recommend technology options, architecture decisions, and best practices.</li>
	<li>Ensure alignment with enterprise architecture principles and standards.</li>
</ul>

3. Data Governance &amp; Security

<ul>
	<li>Implement data governance principles and metadata management frameworks.</li>
	<li>Design access, lineage, cataloging, data quality, and compliance frameworks.</li>
	<li>Ensure alignment to enterprise security, regulatory, and industry standards.</li>
</ul>

4. Delivery &amp; Technical Leadership

<ul>
	<li>Work closely with data engineers and delivery teams to ensure successful solution implementation.</li>
	<li>Provide technical leadership during development, integration, and deployment.</li>
	<li>Conduct architecture reviews, design validation, and performance optimisation.</li>
	<li>Produce high-quality architecture documentation, diagrams, and technical specifications.</li>
</ul>

5. AI Architecture 

<ul>
	<li>Experience in the following areas is highly advantageous:</li>
	<li>AI and ML architecture patterns</li>
	<li>LLMs, RAG, or GenAI solutions</li>
	<li>Data pipelines for AI workloads</li>
	<li>ModelOps and AI lifecycle considerations</li>
	<li>GPU compute and AI infrastructure 
	 </li>
</ul>

Sr. Data Architect

3M believes science helps create a brighter world for everyone. Using 49 unique technology platforms and industry-defining research and development, we unlock the power of people, ideas and science to reimagine what’s possible. Across safety and industrial, transportation and electronics, and consumer markets, 3M is dedicated to applying and sharing our expertise to help customers, communities, and society solve their greatest challenges.

3M has been improving lives in Southeast Asia for more than 60 years, beginning with the founding of 3M in the Philippines in 1961. The company has operations across Indonesia, Malaysia, Philippines, Singapore, Thailand, and Vietnam.

3M Service Center APAC, Inc.

Brief description of the role

Collaborate with innovative 3Mers around the world. As an MDM Analyst, you will perform core master data operations for material records in SAP/DMr and legacy tools. You will process requests within SLAs, facilitate data collection and approvals, and follow governance and documentation standards, focusing on entry-to-medium difficulty queue work and continuous improvement.

 

Main challenges

<ul>
	<li>Maintain data accuracy and compliance with global governance across customer, vendor, and material data.</li>
	<li>Meet SLA and cycle time targets while managing multiple queues.</li>
	<li>Ensure complete data collection/approvals and escalate issues when needed.</li>
</ul>

 

Main activities

<ul>
	<li>Queue management: Monitor and process create/extend/change/deactivate/cleanse/reactivate across customer, vendor, and material domains within SLAs.</li>
	<li>Material data (SAP): Create/extend materials to plants/storage; maintain base, purchasing/MRP/plant attributes; update specific material settings per region.</li>
	<li>Data quality &amp; reporting: Run simple EDQ; support cleanup and Long Tail monthly process; provide operational reports; maintain routing/workflow configuration.</li>
	<li>Documentation &amp; compliance: Follow job aids; support training materials; provide audit evidence; escalate issues as needed.</li>
</ul>

 

The impact you will make in this role

<ul>
	<li>Improve first-time-right data quality and cycle time across all master domains.</li>
	<li>Strengthen governance compliance and stakeholder visibility.</li>
	<li>Contribute to process documentation and continuous improvement.</li>
</ul>

Americas, Master Data Management Analyst

Job Description: 
 
Minimum of 3 years of experience in ABAP programming, Web Intelligence, Business Object and SAP development. 
Experienced with SAP HANA. 
Proficiency in managing and maintenance CDS level and strong understanding of CDS views and their applications. 
Excellent problem-solving and analytical skills. 
Good communication and teamwork skills. 
 
1. Optimize and implement ABAP programs. 
2. Optimize and implement CDS views to support NBS reporting team. 
3. Understanding and implement complex logic for Web Intelligence reports, Business Object and ad-hoc queries. 
4. Collaborate with business analysts to understand requirements and translate them into technical specifications. 
5. Perform unit testing and debugging to quality and performance. 
6. Provide technical support and conduct troubleshooting as needed. 
7. Document technical designs, coding, and maintenance procedures. 
 
Must have and Good to have skills: SAP ABAP Development for HANA (ABAP), Odata 
 
Number of years experience needed: More than 3 years 
Shift Schedule: Morning 
Work Set up: Hybrid 
Number of days in a month or week that needs to be in the office: 2x a week 
Location (During onsite): Uptown 2

SAP Core Data Services CDS

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. 
 
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 {Python, SQL and ETL}

The Language Data Specialist will participate in variety of formal and informal activities as dictated by the needs of the business and may include:

<ul>
	<li class="text-justify">Support Machine Learning experts in language-specific areas for a target language (US English).</li>
	<li class="text-justify">Evaluate the A.I.’s performance and contribute to its optimization which includes providing language data, textual grading for various NLP projects, writing documentation and guidelines, and reviewing data and test results.</li>
	<li class="text-justify">Perform tasks such as data annotation, phonetic transcription, grammar checking, transcription of recorded speech, and other NLP-related tasks.</li>
	<li class="text-justify">Evaluate the quality and performance of NLP-based systems.</li>
	<li class="text-justify">Research, plan, and document product features for a variety of audiences, such as software developers, IT admins, sales engineers, and end users.</li>
	<li class="text-justify">Triage of production usage data in accordance with the standardized grading guidelines.</li>
	<li class="text-justify">Analyzing and inspecting data to identify NLU (natural language understanding) level of failures into predefined categories.</li>
	<li class="text-justify">Bridge the gap between technical and non-technical teams through clear and concise communication.</li>
	<li class="text-justify">Stay updated with industry trends and advancements in machine learning, natural language processing, and related technologies.</li>
</ul>

Language Data Specialist | Open to Fresh Graduates!

General Responsibilities: 
 
The Platform Developer 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. 
 
Data Pipeline Management 
● 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.

Kalibrr Job Search

Data Engineer {Data Governance}

Data Analyst

Data Analyst

Data Engineer

.Data Steward.

Data Steward

Data Engineer

Senior Data Steward

Data Architect [Hybrid]

Sr. Data Architect

Americas, Master Data Management Analyst

SAP Core Data Services CDS

Data Engineer {Python, SQL and ETL}

Language Data Specialist | Open to Fresh Graduates!

Senior Cloud Engineer