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>

Data Modeler

Key Responsibilities

<ul>
	<li>Design, develop, and maintain robust ETL processes and data pipelines</li>
	<li>Build scalable data integration workflows using IDMC (Informatica Intelligent Data Management Cloud)</li>
	<li>Develop and optimize SQL queries and database solutions</li>
	<li>Implement data transformation logic using Python and .ksh scripts</li>
	<li>Work with cloud-based data platforms including AWS and AWS Glue</li>
	<li>Support Customer 360 (C360) data integration and management processes</li>
	<li>Ensure data quality, reliability, and performance across data platforms</li>
	<li>Collaborate with cross-functional teams to understand data requirements</li>
	<li>Implement and maintain data warehousing solutions and data models</li>
	<li>Handle both structured and semi-structured data (e.g., JSON, logs, API data)</li>
</ul>

Data Engineer

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>

<ul>
	<li>Provides assessment and estimation of effort needed based on the provided Business request form.</li>
	<li>Develops and delivers automated data pipelines (Extract, Transform, Load-ETL) jobs in the Data Lake within expected timelines.</li>
	<li>Coordinates with various support groups to accomplish assigned automated data pipes for development</li>
	<li>Prepares deployment package for endorsement to Release Testing Team which includes Solutions Design Document and Operations Guide.</li>
	<li>Provides support during the stabilization phase of pipes endorsed to production until declared BAUeview and approves builds based on the set framework, standards, and best practices.</li>
	<li>Documents source code.</li>
	<li>Other job-related activities that may be assigned from time to time.</li>
</ul>

Data Engineer Python

Key Responsibilities

<ul>
	<li>Design, develop, and maintain advanced dashboards and interactive reports using Power BI</li>
	<li>Perform complex data querying and manipulation using SQL (e.g., Oracle, Microsoft SQL Server)</li>
	<li>Develop and maintain database programs and user interface/query software</li>
	<li>Conduct data modeling, validation, and transformation to ensure data accuracy and consistency</li>
	<li>Implement ETL processes and work with data integration tools</li>
	<li>Apply predictive modeling, NLP, text analytics, and data mining techniques when required</li>
	<li>Collaborate with cross-functional teams in Agile environments</li>
	<li>Ensure adherence to Data Quality, Data Governance, and Data Stewardship standards</li>
	<li>Support data-driven decision-making through clear visualization and reporting</li>
	<li>Work with Hadoop and NoSQL databases where applicable</li>
	<li>Operate within UNIX, Linux, Solaris, and Windows environments as needed</li>
</ul>

Senior Data Analyst

<ul>
	<li>
	The Data Analyst is responsible for data collection, interpretation, and application.
	</li>
	<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 [Hybrid]

<ul>
	<li>Design, build, and maintain scalable, secure data pipelines and storage systems; ensure data quality through ETL processes and regular checks.</li>
	<li>Implement policies and practices to control, optimize, and secure data assets, ensuring data integrity and accessibility.</li>
	<li>Develop and maintain data models, structures, and databases to meet business needs; communicate data architecture effectively.</li>
	<li>Develop, test, and maintain scripts and programs to automate data processing and pipelines, adhering to industry standards.</li>
	<li>Create and operationalize data visualization solutions to simplify complex data for stakeholders and decision-making.</li>
	<li>Work with cross-functional teams to gather data requirements, optimize existing processes, and deliver ad hoc reports and insights</li>
</ul>

Data Engineer [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

The Senior Data Engineer is responsible for designing, developing, and maintaining scalable data engineering solutions that support the migration from legacy big data platforms to modern, cloud-based data environments. The role ensures reliable data operations while enabling ongoing and new business initiatives.

Sr. Data Engineer

<ul>
	<li>Design, develop, and maintain scalable ETL processes and data pipelines</li>
	<li>Work with structured and semi-structured data from multiple data sources</li>
	<li>Develop and optimize SQL queries for data transformation and reporting</li>
	<li>Implement data integration solutions using IDMC (Informatica Intelligent Data Management Cloud)</li>
	<li>Build and manage data workflows using AWS services including AWS Glue</li>
	<li>Perform scripting using Python and Unix shell (.ksh) for automation tasks</li>
	<li>Design and maintain data models aligned with business requirements</li>
	<li>Ensure data quality, consistency, and integrity across systems</li>
	<li>Support data warehousing initiatives and reporting solutions</li>
	<li>Collaborate with Data Analysts, Business Intelligence teams, and stakeholders</li>
</ul>

Junior Data Engineer

General Responsibilities:

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}

Job Responsibilities

<ul>
	<li>Design, develop, and maintain ETL pipelines to ingest, transform, and load data from multiple sources.</li>
	<li>Build and optimize data pipelines for performance, reliability, and scalability.</li>
	<li>Work with cloud-based data lakehouse platforms such as Databricks, BigQuery, or similar technologies.</li>
	<li>Develop and maintain data processing workflows using Python.</li>
	<li>Write complex and optimized SQL queries to support analytics and reporting requirements.</li>
	<li>Design and manage data models to support data warehousing and business intelligence use cases.</li>
	<li>Process and manage structured and semi-structured data (e.g., JSON, CSV, logs).</li>
	<li>Collaborate with data analysts, data scientists, and business stakeholders to understand data requirements.</li>
	<li>Ensure data quality, integrity, and consistency across data platforms.</li>
	<li>Troubleshoot and resolve data pipeline and performance issues.</li>
</ul>

Data Engineer | Mid to Senior

General Responsibilities:

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

Kalibrr Job Search

Data Engineer {Data Governance}

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Data Engineer

Data Engineer

Data Engineer Python

Senior Data Analyst

Data Analyst [Hybrid]

Data Engineer [Hybrid]

Data Engineer [Hybrid]

Sr. Data Architect

Sr. Data Engineer

Junior Data Engineer

Data Engineer {Python & SQL}

Data Engineer | Mid to Senior

Data Engineer {Java, Python, SQL}