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>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

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

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

Data Analyst

<ul>
	<li>Experience collecting, organizing, analyzing, and disseminating abundant information with accuracy</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>

We are seeking a highly skilled Data Modeler / Architect to lead the design and implementation of scalable data models and transformation pipelines using DBT on Google Cloud BigQuery. This role requires strong client-facing communication skills to understand business data deeply and translate it into robust technical solutions.

Data Modeling &amp; Architecture

Design logical and physical data models aligned with business requirements and long-term architecture goals.

Apply modeling styles such as 3NF, dimensional, anchor, and semantic models for cloud data warehouses.

Define entity relationships, derived fields, business constraints, and data validity rules.

Transformation &amp; Implementation

Build and deploy transformation pipelines using DBT (Data Build Tool) integrated with Google Cloud BigQuery.

Optimize table storage, indexing, and partitioning for performance and scalability.

Apply best practices for cost-efficient querying and data access in BigQuery.

Client Engagement &amp; Communication

Collaborate directly with clients to understand their data landscape, business logic, and reporting needs.

Translate business rules into technical specifications and ensure alignment across stakeholders.

Present data models and transformation strategies clearly to both technical and non-technical audiences.

Must have and Good to have skills: SQL, DBT, Data Modeling

Number of years experiences needed: Min of 4 years

If hybrid, provide number of days in a month or week that needs to be in the office: 2x a week – Midshift (2PM to 12AM)

Location (During onsite): Uptown Tower 3, BGC Taguig City

Data Modeler Architect

Key Responsibilities

Administer, maintain, and support enterprise-level databases including PostgreSQL, MongoDB, MySQL, and Microsoft SQL Server.

Perform database installations, configurations, upgrades, migrations, and patch management.

Monitor database performance and implement optimization and tuning for high availability and scalability.

Ensure data integrity, security, and compliance through robust backup and recovery strategies.

Collaborate with development and infrastructure teams to design efficient database structures and improve query performance.

Automate repetitive DBA tasks using scripts and tools to improve operational efficiency.

Troubleshoot and resolve database issues, ensuring minimal downtime and quick recovery.

Provide mentorship and technical guidance to junior database team members.

Sr Data Administrator

Azure Data Engineer

Knowledge of reporting and visualization tools such as Business Objects, PowerBI and Tableau.

• Programming Skills – knowledge of database query languages like SQL and Python

 

Solid understanding of data engineering practices, ETL processes, and data warehousing concepts and familiarity with Azure data platforms.

• Proven experience in data analysis and report/dashboard creation using SQL, Python, MS Excel, and Power-BI.

• Strong problem-solving skills with a focus on deriving

actionable insights from complex datasets.

• Excellent communication and collaboration skills.

• Ability to work independently and as part of a team.

• Attention to details.

 

Excellent organizational skills

 

• Strong mathematical and numeracy skills

• Critical Thinking skills

• Excellent communication (verbal and written)

• Ability to work in an open culture with a positive

approach.

Senior Data Analyst

Duties and Responsibilities:

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

Language Data Specialist

Responsible for designing, developing, and optimizing big data solutions using the Databricks platform. This role involves close collaboration with data engineers, data scientists, and stakeholders to ensure efficient data processing, quality, and performance 
Key Responsibilities 
• Develop and implement advanced data solutions on Databricks using Python, Scala, or SQL. 
• Optimize ETL processes and data pipelines for performance and reliability. 
• Integrate Databricks notebooks with tools like Azure Data Factory and Synapse Analytics 
• Implement secret scopes and secure data access using Databricks CLI and Azure Service Principals. 
• Collaborate with cross-functional teams to understand data requirements and deliver scalable solutions. 
• Conduct performance tuning and troubleshoot data workflows. 
• Document processes and maintain high standards of code quality and maintainability. 
Qualifications 
• 5+ years of experience in data engineering or similar roles. 
• Strong proficiency in Databricks, Apache Spark, and cloud platforms (Azure). 
• Experience with data modeling, data cleansing, and warehousing at scale (1TB+). 
• Familiarity with Agile delivery paradigms and software engineering best practices. 
• Knowledge of core Python libraries (NumPy, Pandas, Matplotlib) is a plus 
Skills 
• Databricks, Apache Spark 
• Python, SQL, Scala 
• Azure Data Factory, Synapse Analytics 
• ETL, Data Modeling, Performance Tuning 
• Cloud platforms: Azure 
• CI/CD and Git integration workflows 
 
Must have and Good to have skills: Databricks, Apache Spark, Azure Data Factory, Synapse Analytics 
 
Number of years experiences needed: 4-5 years 
 
Shift Schedule: EMEA 
 
Work Set up: Hybrid 
 
Number of days in a month or week that needs to be in the office: 2 x A week (can be discussed) 
 
Project Location (During onsite): Uptown Tower 3, BGC Taguig City

Microsoft Azure Data Services

Required Skill: Expert proficiency in SAP Master Data Migration. 
- Strong understanding of data management principles and practices. 
- Experience with data migration tools and techniques. 
 
Must have and Good to have skills: 
 
Familiarity with SAP modules and their integration with master data. 
- Ability to analyze and resolve data quality issues effectively. 
- Skills and knowledge in Materials Management (MM), including procurement processes, inventory management, and material master data handling. 
 
Number of years experiences needed: 3 years 
 
Shift Schedule: Morning Shift 
Work Set up: Hybrid 
Number of days in a month or week that needs to be in the office: 4 days/month 
Location (During onsite): Uptown 2 Taguig

SAP Master Data Migration

Key Responsibilities:

<ul>
	<li>Data Transformation: Utilize SQL and Python scripting to clean, transform, and aggregate complex, messy datasets from various sources, preparing them for analysis.</li>
	<li>ETL Support: Collaborate with Data Engineering to monitor, troubleshoot, and optimize data loading and transformation workflows (ETL/ELT)</li>
	<li>Reporting &amp; Visualization: Design, develop, and maintain high-impact dashboards and reports using Power BI to track key business metrics (KPIs).</li>
	<li>Advanced Calculation: Apply DAX (Data Analysis Expressions) to create sophisticated measures, calculated columns, and complex aggregations within Power BI models.</li>
	<li>Business Insight: Conduct deep-dive analyses to identify trends, root causes, and business opportunities, presenting findings clearly to non-technical stakeholders.</li>
	<li>Data Governance: Ensure data accuracy, consistency, and compliance across all reports and analyses.</li>
</ul>

Data Analyst [ ETL | Python | SQL]

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

Zeno Business Solutions is a talent management partner specializing in Employer of Record (EOR) services for US-based clients. We handle HR, payroll, training, and tech challenges, enabling our clients to focus on their core operations. As an Assigned Employee (AE) with Zeno, you'll gain invaluable experience working on diverse projects in a global landscape, directly managing day-to-day operations for clients. We are committed to professional excellence, unwavering reliability, a client-first focus, integrity, and empowering both our clients and employees. We offer competitive compensation, comprehensive benefits, and opportunities for professional growth and development within a supportive and professional remote work environment. 

Zeno Business Solutions Corp

<h3>Company introduction: 
Zeno Business Solutions is a talent management partner specializing in Employer of Record (EOR) services for US-based clients. We handle HR, payroll, training, and tech challenges, enabling our clients to focus on their core operations. We are committed to professional excellence, unwavering reliability, a client-first focus, integrity, and empowering both our clients and employees. We offer competitive compensation and opportunities for professional growth and development within a supportive and professional remote work environment.</h3>

<h3>Job Summary</h3>

WorkWhile requires vendor support to maintain 24/7 coverage on the IndeedFlex VMS. Contractors will manage job allocations, book workers within strict SLA windows, ensure timesheet accuracy, and maintain worker profiles. This role is critical to preventing slot loss, meeting SLA deadlines, and ensuring a positive client experience.

<h2> 
 
Key Responsibilities</h2>

<h3>Dashboard Monitoring &amp; SLA Compliance</h3>

● Monitor IndeedFlex VMS for new job allocations

● Click “Respond” immediately and complete booking actions

● Maintain 4-hour SLA for all job requisitions

● Remove unfilled allocations when needed

<h3>Worker Booking &amp; Data Entry</h3>

● Add and update worker profiles (legal name, DOB, email, SSN last 4)

● Bulk upload workers during surge windows

● Select &amp; confirm all shift dates before booking

● Manage replacements, swaps, and cancellations

<h3>Attendance &amp; Timekeeping</h3>

● Confirm worker clock-ins &amp; clock-outs

● Record first/second shift punches and meal breaks

● Escalate clock-in issues to IndeedFlex support

● Mark no-shows and assign replacements

<h3>Timesheet Accuracy</h3>

● Adjust and submit timesheets daily

● Complete all weekly timesheet submissions before Monday 11:59 PM CST

● Remove workers from future shifts when absent

<h3>Worker Support</h3>

● Contact workers who cancel or fail to confirm shifts

● Provide shift details, access instructions, and expectations

 

<h3>Work Schedules:</h3>

● Night coverage: 5 PM–12 AM PST

● Weekend coverage: 8 AM–8 PM PST

● Surge coverage: support during 300–500-slot releases with 48-hour fill deadlines

● Must respond to alerts &amp; allocations in real time (notifications enabled)

VMS Data Entry & Dashboard Monitoring Specialist

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>

Kalibrr Job Search

Data Engineer

Data Engineer

Data Analyst

Data Analyst

Data Modeler Architect

Sr Data Administrator

Azure Data Engineer

Senior Data Analyst

Language Data Specialist

Microsoft Azure Data Services

SAP Master Data Migration

Data Analyst [ ETL | Python | SQL]

SAP Core Data Services CDS

VMS Data Entry & Dashboard Monitoring Specialist

Data Cloud Engineer {Python I SQL}