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.

What you'll be doing:

Designing, building, and maintaining scalable and efficient data pipelines to extract, transform, and load data from various sources

Developing and optimising data models to support business intelligence and advanced analytics

Collaborating with cross-functional teams to understand and address business requirements

Automating data-related processes and workflows to improve data quality and reduce manual interventions

Continuously monitoring and optimising data systems to ensure reliability, performance, and security

Providing technical expertise and guidance to support the implementation of data-driven solutions

Data Engineer

Duties and Responsibilities:

<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>

Work Set-up: Hybrid (3x a week RTO)

Data Analyst

Duties and Responsibilities:

<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>

Work Set-up:

Hybrid (3x a week RTO)

Python

Roles and Responsibilities

1. SQL Proficiency for Analytics

○ Writes optimized queries to support BI workloads.

○ Uses window functions, CTEs, and subqueries for analytical transformations.

○ Tunes queries with a focus on speed for dashboards and reporting.

○ Adapts across SQL dialects (PostgreSQL, BigQuery, Snowflake, etc.).

2. Data Modeling G Warehousing

○ Designs star/snowflake schemas for BI use cases.

○ Balances Kimball (analytics-oriented) and Inmon (integration) approaches.

○ Optimizes partitioning and clustering for query efifiiciency (rather than compute efficiency).

3. BI Readiness G Reporting Support

○ Builds curated datasets for BI tools (Looker, Tableau, Power BI).

○ Collaborates with analysts to ensure usability of datasets.

4. Data Quality G Validation

○ Implements automated testing in dbt or similar.

○ Familiarity with observability tools.

○ Ensures trustworthiness of analytics-layer tables.

5. Pipeline Development (Analytics-Focused)

○ Orchestrates workflows with dbt, Airflow, or Fivetran.

○ Manages ELT with emphasis on transfiormation in the warehouse.

6. Governance G Privacy (User-Facing Data)

○ Implements data masking and role-based access control for analysts.

○ Ensures compliance at the analytics layer.

Data Analytics Engineer

Job Description:

The Data Engineer is expected to work with the Team in delivering and supporting Data Analytics Requirements. The resource is expected to collaborate with various stakeholders to deliver needed solutions across the organization. Technical expertise is highly expected from the resource to provide solutions and architecture as needed.

Job Requirements:

<ul>
	<li>Must have at least 4-7 years Relevant experience in Data Engineering.</li>
	<li>Development in Azure Data Factory is a priority but experience with Cloud ETL Looks such as AWS Glue or GCP Cloud Data Fusion/Flow is alo considered.</li>
	<li>Python programming skills in Data Analytics/Big Data is a must.</li>
	<li>Cloud Data Engineering skills in Azure (preferred), AWS, and/or GCP is a must.</li>
	<li>Must have experience working in enterprise environment with Data Warehouse/Data Lake/Data Lakehouse environment.</li>
	<li>Modern Data Architecture and Data Modeling experience.</li>
	<li>Worked on at least 2 enterprise scale projects as a Data Engineer.</li>
	<li>PowerBI or knowledge on BI tools is a must.</li>
	<li>Good communication and writing skills.</li>
	<li>Ability to manage stakeholders.</li>
	<li>Independent can work on his/her own with minimal to zero supervision.</li>
	<li>Machine Learning/AI understanding is nice to have.</li>
</ul>

Senior Data Engineer

Job Responsibilities/Accountabilities:

· Develop diagrams to outline data requirements and design data flow diagrams to show how data moves between systems and applications.

· Work with different stakeholders to identify data sources, design data ingestion processes with Data Engineering team, and ensure they meet regional standards.

· Set and govern standards for data transformation to ensure consistency and reliability.

· Determine the appropriate location for the data storage.

· Identify the best method to deliver data for easy access and proper utilization.

<ol>
	<li>Master Data Management</li>
	<li>Data Governance</li>
	<li>Design metadata architecture.</li>
	<li>Data Security</li>
	<li>Support and Consultancy.</li>
	<li>Research new opportunities for data acquisition.</li>
	<li>Identify and evaluate new data management technologies.</li>
	<li>Constantly monitor, refine, and report on the performance of data management systems.</li>
	<li>Maintain a corporate repository of all data architecture artifacts and procedures.</li>
	<li>Compliance</li>
	<li>Perform other functions as may be assigned.</li>
</ol>

Senior Data Architect

Description and Nature of Business
Alveo Land Corp. is the Philippines’ leading innovative developer of vibrant communities and groundbreaking living solutions adapted to the changing needs of the upscale, urban achiever market. Armed with sharper foresight,
unparalleled excellence, total commitment, and an inherent passion and drive for innovation, Alveo Land offers an extensive portfolio of holistic communities with relevant, thoughtfully-designed amenities, and customer-focused services that ensure its residents and end-users live well.

Alveo Land sets the benchmark for living innovations today, and continues to create sought-after lifestyle concepts, enjoying around 5-15% premium over competition.

Vision:
We are the Philippines’ leading innovative real estate developer serving the upscale market.

Mission:
We strive to elevate our customers’ quality of life through innovative real estate solutions in vibrant growth centers all over the Philippines.

We act responsibly with integrity, accountability, and total commitment.

We achieve excellence through passion, focus, and foresight.

Customer Profile
Alveo Land’s target market, in general, are those individuals belonging to the AA through lower A socio-economic brackets with a monthly household income of PH₱200k to PH₱500k (US$3.9k to US$9.7k). 

They are upscale urban achievers, single or married, and in their 30s to 50s. They should be able to afford a monthly amortization
of around PH₱75k (US$1.4k) per month for a typical Alveo product. They are usually young to mid-aged aspiring married couples, at the progressive stages of their careers or entrepreneurial business life. Their life stage could be defined as “early to full-nester”
with children in primary or secondary school. They are an upwardly mobile group whose lives revolve around their family and work, who value good careers and social prospects, and who are imageconscious, yet practical in their investments. Real estate purchases are considered very carefully, and image coupled with good investment value and value for money is a primary consideration. Subsequent in their hierarchy of importance is security, followed by accessibility and proximity to their places of work and/or places of education, depending on the school age of the kids. Their holidays and weekends are spent shopping, so proximity to commercial centers and leisure destinations, is highly desirable.

COMPANY BACKGROUND
With foresight brought about by many successful years in the industry, the Philippines’ leading real estate developer, Ayala Land, Inc.
conceived a company dedicated to building homes that answer the needs of a rapidly expanding market— the urban achievers.
Five Corners Ventures Corp., a wholly-owned subsidiary of Ayala Land, was incorporated in the Philippines and was registered with the Securities and Exchange Commission (SEC) on 29 September 1995. Operating at the 10th Floor of the Ayala Life-FGU Building, Madrigal Business Park in Alabang, Muntinlupa City, the company began to play a strategic role in revolutionizing the way communities are created. 

By 26 February 2002, while in the planning stage of its very first development and with approval of its Board of Directors, the company
took on the name Community Innovations, Inc. (CII). The SEC approved the change in the company’s name on 08 March 2002. It was a move that reinforced the company’s commitment to providing specially-designed
living environments for the unique needs of its discerning market.

Along with the new name was a prominent new office address –the 18th floor of Tower One & Exchange Plaza, Ayala Avenue
in Makati City, the Philippines’ premier business and financial hub. Community Innovations officially opened its door for commercial operations on 01 March 2002, and since then, evolved into one of the fastest-growing real estate companies in the country.
As the company’s dedication to its customers deepened, the qualities that defined it as a real estate company had likewise risen to a whole new level – sharper foresight, unparalleled excellence and total commitment.

To mark this milestone, on 23 July 2008, the company changed its name from Community Innovations to one that reaches out to a wider aspect of living, Alveo Land Corp. Alveo, derived from the Latin word salveo, means “to be well.” As a company, Alveo Land doesn’t just find the means to build the most innovative homes; it looks for ways to make you live well.
For the past 15 years, Alveo Land has proudly built and sustained not only well-designed developments, but also flourishing neighborhoods. Alveo has delivered over 36 signature communities across the country, among them, Two Serendra, High Street South Corporate Plaza, Senta, Venare NUVALI,
The Columns Legazpi Village, Ametta Place, and Kasa Luntian– all superior developments bearing the mark of Alveo Land’s expertise and passion for innovation. On 31 March 2014, Alveo Land moved to its brand new home
at the ALVEO Corporate Center in Bonifacio Global City, creating a brand new focal point for leading-edge lifescape and workscape concepts in the Philippines.

PROJECTS

Alveo Land creates upmarket and high-end properties geared towards the successful urban achiever and aspirant. With an excellent mix
of creativity and innovation, Alveo Land devotedly caters to every aspect of its customers’ active and dynamic modern lifestyles. Offering the best range of top-designed, strategically located and most dynamic community properties around, investing in Alveo Land is truly a first-rate investment. Together with Ayala Land’s superior track record and long-term commitment to quality and maintenance, Alveo Land’s discerning clientele is assured of safe and secure communities that they can surely value for years to come. Alveo Land continuously reshapes the metropolis through centralized developments in the Makati CBD, Ortigas CBD, and Bonifacio Global City.
It has redefined its boundaries in the surrounding north and south of the nation’s capital with projects located as far north as the ambitious townships of Marquee and ALVIERA and projects within the visionary metropolises of Evo City, Vermosa, and NUVALI in the south. Alveo Land has also been progressing westward and eastward with developments
at the heart of Manila and in the quiet side of Pasig City. Outside of Luzon, Alveo Land has made its footprint in Cebu City in the Visayas and Davao City in Mindanao. With multiple groundbreaking developments and  masterplanned communities in premier growth centers all across the Philippines, bracketed by Alveo Land’s signature lifestyle innovations,
everyone’s welcome to do what it does best—to live well.

Project List (as of October 2017)
o Makati City: The Columns Ayala Avenue, The Columns Legazpi Village, Senta, The Lerato, Kroma Tower, Solstice at Circuit Makati, The Stiles Enterprise Plaza, Alveo Financial Tower, The Gentry Residences, Callisto at Circuit Makati, The Gentry Corporate Plaza

o BGC/Taguig City: Two Serendra, High Street South Block, High Street South Corporate Plaza, ALVEO Corporate Center, The Veranda at Arca South, Park Triangle Corporate
Plaza, Park Triangle Residences, Alveo Park Triangle Tower

o Ortigas/Pasig City: Ametta Place, Portico

o Quezon City: Ferndale Villas, High Park at Vertis North, Orean Place at Vertis North
o Manila: Celadon Residences, Celadon Park
o Pampanga: Marquee Place, Marquee Residences, Montala ALVIERA

o Cavite: Verdana Homes, Verdana Village Center, Kasa Luntian, Westborough, Ardia Vermosa, The Residences at Evo City

o Laguna: Verdana Homes Mamplasan, Treveia NUVALI, Venare NUVALI, Mirala NUVALI, Lumira NUVALI, Mondia NUVALI, Aveia

o Cebu: Sedona Parc, Solinea, BPI Cebu Corporate Center

o Davao del Sur: Abreeza Residences, Abreeza Place, Patio Suites Abreeza

Alveo Land Corporation

The Data Analyst Associate requires strong analytical skills, familiarity with process documentation, and basic coding/programming literacy. Exposure to data visualization tools is desired to effectively communicate insights and recommendations.

Data Analyst Associate

Summary: 
As a Data Platform Engineer, you will be responsible for assisting with the blueprint and design of the data platform components. Your typical day will involve collaborating with Integration Architects and Data Architects to ensure cohesive integration between systems and data models using Databricks Unified Data Analytics Platform. 
 
Roles &amp; Responsibilities: 
- Assist with the blueprint and design of the data platform components using Databricks Unified Data Analytics Platform. 
- Collaborate with Integration Architects and Data Architects to ensure cohesive integration between systems and data models. 
- Develop and maintain ETL processes using Extract Transform and Load (ETL) tools. 
- Design and implement data models and database schemas using Microsoft SQL Server. 
- Troubleshoot and optimize data platform performance issues. 
- Ensure data quality and integrity through data validation and testing. 
- Develop and maintain data platform documentation. 
- Provide technical guidance and support to cross-functional teams.

Work Set-up: Hybrid (2x a week RTO)

Data Platform Engineer

Duties and Responsibilities:

<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 | SQL & Python

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>Bachelor’s degree in Information Technology, Computer Science, or a related field.</li>
	<li>3–5 years of professional experience as a Data Engineer or in ETL-focused roles.</li>
	<li>Strong expertise in ETL tools, particularly Informatica, with hands-on experience in data integration and transformation.</li>
	<li>Proficiency in Azure Databricks for data engineering, processing, and advanced analytics.</li>
	<li>Solid understanding of data pipeline design, optimization, and automation.</li>
	<li>Strong knowledge of SQL and relational databases, with experience in query optimization and performance tuning.</li>
	<li>Familiarity with Python or other programming/scripting languages for data manipulation and workflow automation.</li>
	<li>Experience working with cloud-based data platforms (Azure preferred) and integration with enterprise BI/reporting tools.</li>
	<li>Knowledge of data governance, quality, and security best practices.</li>
	<li>Strong problem-solving, analytical, and communication skills, with the ability to collaborate with cross-functional teams.</li>
</ul>

Senior Data Engineer ] Azure Databricks

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}

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}

<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}

Qualifications:

Bachelor’s degree in Information Technology, Computer Science, Statistics, or a related field

4–6 years of progressive experience in Data Analysis, Business Intelligence, or related roles

Advanced proficiency in ETL tools and managing large-scale data pipelines

Strong expertise in Python for data analysis, automation, and integration with analytics platforms

In-depth knowledge of DAX for complex data modeling and calculations

Proven experience with BI and visualization tools such as Power BI and Tableau for executive dashboards and enterprise reporting

Strong background in data modeling, SQL, and relational databases

Experience working with stakeholders, translating business needs into technical solutions

Ability to mentor junior analysts and contribute to best practices in data governance and analytics

Strong problem-solving, communication, and presentation skills with a track record of delivering insights that drive business decisions

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Data Analyst ] ETL and Python and Dax