NCS Philippines, in partnership with Globe and part of the NCS Group, a leading Asia-Pacific technology services firm and subsidiary of the Singtel Group, is a workplace where people and innovation come together to create meaningful impact. 

Employees at NCS Philippines work on a wide range of projects across digital, data, cloud, platforms, and cybersecurity, supporting enterprises and government agencies in solving real-world challenges. With access to NCS’ regional network of over 15,000 professionals across 55 specialisations, teams gain valuable exposure to global best practices while contributing to local impact. 

The company fosters a culture rooted in collaboration, continuous learning, and growth. Employees are empowered to expand their capabilities, explore emerging technologies, and build solutions that go beyond technical delivery – creating tangible value for clients and communities. 
Through strong partnerships, a diverse talent base, and opportunities for regional collaboration, NCS Philippines enables their people to grow their careers while being part of something bigger: advancing communities through technology and shaping the future of digital innovation.



NCS Philippines Inc. 

Company Overview 
 
NCS is a leading AI Tech Services company. With a 15,000-strong team across the Asia Pacific, NCS scales its platforms and capabilities to provide clients with greater agility and AI expertise across a range of industries. Embracing a strong ecosystem of global partners, NCS transforms technology services delivery combining AI with digital resilience to drive real business impact. NCS is a subsidiary of the Singtel Group.

General Responsibilities:

The Data Engineer will be responsible for designing, building, and maintaining robust data infrastructure and pipelines that support current and future business needs. This includes transforming raw data into actionable insights through scalable and secure pipelines, managing data assets effectively, and enabling seamless access to data for analytical and operational processes. The Data Engineer will collaborate with cross-functional teams to address data requirements, optimize workflows, and deliver impactful solutions through automation, visualization, and reporting.

BI and Data Engineer

At AWS, we don’t just create software—we build solutions that drive business success and fuel professional growth.

As a trusted IT solutions provider and software development partner, AWS has consistently led the charge in delivering high-quality, reliable, and innovative technology services to clients around the world. With a strong foundation built on over 30 years of excellence, our strength lies in our people—skilled, passionate professionals dedicated to transforming ideas into reality through collaboration, creativity, and technical expertise.

Since our inception in the Philippines, AWS has been committed to the core philosophy of “Global IT Excellence.” This guiding principle has fueled our growth, enabling us to continually enhance our technical capabilities. Over the years, we’ve earned the trust of not only Japanese companies but also multinational corporations by delivering tailored, cutting-edge solutions that meet diverse business needs.

At AWS, we are not just about technology; we are about building lasting relationships and making a meaningful impact on the success of our clients. Our journey of constant innovation and technical refinement ensures that we are well-positioned to tackle tomorrow’s challenges today.

Advanced World Systems, Inc. / Advanced World Solutions, Inc. (AWS)

Data Warehouse Developer

Job Summary

We are looking for a skilled and motivated Data Warehouse Developer to design, develop, and maintain data warehouse solutions and ETL pipelines. The ideal candidate should have experience with AWS data services, database management, BI reporting tools, and Python development. Leadership skills and the ability to collaborate with cross-functional teams are also essential for this role.

Responsibilities

<ul>
	<li>Design, develop, and maintain scalable data warehouse solutions.</li>
	<li>Build and manage ETL (Extract, Transform, Load) processes using AWS services such as AWS Glue, Lambda, and Snowflake.</li>
	<li>Perform data transformation and modeling using DBT (Data Build Tool).</li>
	<li>Develop and optimize SQL queries, stored procedures, and database structures.</li>
	<li>Manage and support databases including PostgreSQL and Athena.</li>
	<li>Create dashboards, reports, and data visualizations using Power BI and Tableau.</li>
	<li>Develop automation scripts and data processing solutions using Python.</li>
	<li>Monitor data pipelines and troubleshoot data-related issues to ensure data accuracy and integrity.</li>
	<li>Collaborate with business users, analysts, and technical teams to gather requirements and deliver data solutions.</li>
	<li>Lead technical initiatives, mentor team members, and provide guidance on best practices.</li>
	<li>Ensure compliance with data governance, security, and performance standards.</li>
</ul>

Data Warehouse (DW) Developer

Job Specifications

<ul>
	<li>Education – At least graduate with a Bachelor’s or Master's Degree in IT, Computer Science, Engineering, or any related course.</li>
	<li>Related Work Experience – at least 5 years of experience in data engineering, data analytics, or related fields.</li>
	<li>Proficiency in Python and Java, with experience in other programming languages as a plus.</li>
	<li>Hands-on experience with data manipulation tools (e.g., pandas, dplyr, or Spark).</li>
	<li>Proficiency in Extract, Transform, and Load (ETL) processes for efficient data pipeline management.</li>
	<li>Expertise in both SQL and NoSQL query languages for database interaction and management.</li>
	<li>Experience with big data storage and processing solutions, such as MongoDB, Spark, Hive, Snowflake, Redshift, or similar technologies.</li>
	<li>Experience with cloud-based or server-based data processing environments (e.g., AWS, Azure, GCP).</li>
	<li>With experience in Apache Nifi (nice to have)</li>
</ul>

Knowledge – Knowledgeable in the following:

<ul>
	<li>Comprehensive understanding of data manipulation tools such as pandas, dplyr, and Spark.</li>
	<li>In-depth knowledge of big data frameworks and tools like Apache Spark and Hadoop.</li>
	<li>Familiarity with data warehousing services like AWS Redshift, Snowflake, or similar solutions.</li>
	<li>Proficiency in AWS Cloud Services, particularly AWS Glue and AWS Lake Formation.</li>
	<li>Familiarity with business intelligence tools such as Tableau, Power BI, QuickSight, or Google Data Studio.</li>
	<li>Awareness of data visualization libraries and packages like Dash, Plotly, Matplotlib, ggplot, and Folium.</li>
	<li>Understanding of machine learning libraries and tools is a plus.</li>
	<li>Knowledge of data governance, quality control, and security best practices.</li>
	<li>Skills</li>
	<li>Problem-Solving: Ability to address technical challenges and deliver efficient data solutions.</li>
	<li>Communication: Clear and concise communication skills for collaborating with team members and stakeholders.</li>
	<li>Collaboration: Ability to work effectively within a team environment to achieve shared goals.</li>
	<li>Time Management: Capacity to manage tasks and meet deadlines in a structured and timely manner.</li>
	<li>Attention to Detail: Careful and accurate handling of data to ensure quality and integrity.</li>
	<li>Client-Focus: Ability to understand business needs and align data solutions to support decision-making and strategic objectives.</li>
	<li>Adaptability: Flexible and open to learning new tools, technologies, and processes in a rapidly changing environment.</li>
</ul>

Data Engineer {Python , SQL}

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}

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

BI and Data Engineer

Data Warehouse (DW) Developer

Data Engineer {Python , SQL}

Data Engineer {Python & SQL}

Data Engineer {Python, SQL and ETL}