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. 

We are seeking a Data Architect to design, govern, and evolve our enterprise data landscape with a strong focus on modern data lakehouse architecture. This role is responsible for building scalable, secure, and analytics-ready data platforms that support reporting, advanced analytics, and AI/ML initiatives. The ideal candidate combines strategic architectural thinking with deep hands-on experience in cloud-based data ecosystems.

Key Responsibilities 
 
Data Architecture &amp; Platform Design

Define and own the enterprise data architecture and target-state data landscape

Design and implement data lakehouse architectures supporting structured and unstructured data

Lead modernization from legacy data warehouses to lakehouse-based platforms

Establish architecture standards, patterns, and best practices

Data Integration &amp; Processing

Architect batch and real-time data ingestion pipelines

Design scalable data processing frameworks using distributed compute

Integrate data from transactional systems, APIs, and third-party sources

Ensure data reliability, performance, and cost efficiency

 
Governance, Quality &amp; Security

Define and enforce data governance, quality, and lineage standards

Architect secure data access models including role-based access control

Ensure data privacy and regulatory compliance through design

Implement metadata management and auditing capabilities

 
Analytics Enablement

Enable BI, analytics, and AI/ML workloads through optimized data models

Support self-service analytics and standardized semantic layers

Partner with data engineers, analysts, and business stakeholders

 
Technical Leadership

Provide architectural guidance and design reviews

Mentor data engineers and technical teams

Translate business requirements into scalable data solutions

Data Architect  [Data Lakehouse]

<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}

We are seeking a Senior Data Architect to design, govern, and evolve our enterprise data landscape with a strong focus on modern data lakehouse architecture. This role is responsible for building scalable, secure, and analytics-ready data platforms that support reporting, advanced analytics, and AI/ML initiatives. The ideal candidate combines strategic architectural thinking with deep hands-on experience in cloud-based data ecosystems.

Key ResponsibilitiesData Architecture &amp; Platform Design

Define and own the enterprise data architecture and target-state data landscape

Design and implement data lakehouse architectures supporting structured and unstructured data

Lead modernization from legacy data warehouses to lakehouse-based platforms

Establish architecture standards, patterns, and best practices 
 

Data Integration &amp; Processing

Architect batch and real-time data ingestion pipelines

Design scalable data processing frameworks using distributed compute

Integrate data from transactional systems, APIs, and third-party sources

Ensure data reliability, performance, and cost efficiency

 
Governance, Quality &amp; Security

Define and enforce data governance, quality, and lineage standards

Architect secure data access models including role-based access control

Ensure data privacy and regulatory compliance through design

Implement metadata management and auditing capabilities

 
Analytics Enablement

Enable BI, analytics, and AI/ML workloads through optimized data models

Support self-service analytics and standardized semantic layers

Partner with data engineers, analysts, and business stakeholders

 
Technical Leadership

Provide architectural guidance and design reviews

Mentor data engineers and technical teams

Translate business requirements into scalable data solutions

Data Architect  {Data Landscape & Lakehouse}

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

The ATR Asset Management Group (ATRAM or ATRAM Group) operates through ATR Asset Management, Inc. (ATRAM MF) and the ATRAM Trust Corporation (Formerly Maybank ATR Kim Eng Capital Partners, Inc. - Trust).
 
In 2009, the ATRAM Group decided to expand its presence in the fast-growing domestic asset management industry by forming a dedicated business group called ATR Asset Management Group (ATRAM or ATRAM Group).  This group, comprised of ATRAM MF  and ATRAM - Trust, manages portfolios consisting of mutual funds, trust assets, insurance portfolios, and real estate for proprietary and third party clients.

Why join us?

We are the leading Digitally-powered Asset and Wealth Management ﬁrm serving institutional clients and retail customers,  providing innovative products and unique customer experiences delivered through technology-enabled platforms. Our goal is to secure our clients’ ﬁnancial future
 
ATRAM offers a professional, fair and progressive work environment. In addition, ATRAM strongly supports career development and work-life balance for its employees.

ATR Asset Management (ATRAM)

<ul>
	<li>Ensure accurate and timely transaction processing by preparing settlement instructions, client acknowledgements, proofs of payment, bank enrollment forms, and consolidated payment schedules; handling KYC documentation and LOI filing; and coordinating with branches and banks for submissions, approvals, and document pick‑ups.</li>
	<li>Maintain complete and organized data and records through consistent uploading, tracking, and filing of all transaction documents (ARs, proofs of withdrawal, SSIs, etc.) in required systems such as JIRA, ensuring data integrity and easy audit retrieval.</li>
	<li>Strengthen process quality, compliance, and risk controls by adhering to regulatory and company policies, proactively minimizing errors that could lead to penalties, and contributing to ongoing process improvement initiative</li>
</ul>

Data Encoder

LeapFroggr Inc. is a technology company that operates SeriousMD & NowServing. Together, SeriousMD & NowServing is a healthcare platform, whose sole mission is to "improve healthcare through technology."

Our company culture revolves around excellence, family and community, cooperation and sharing.

LeapFroggr Inc.

We are looking for a Data Scientist who will support our product, sales, leadership and marketing teams with insights gained from analyzing company data. The ideal candidate is adept at using large data sets to find opportunities for product and process optimization and using models to test the effectiveness of different courses of action. They must have strong experience using a variety of data mining/data analysis methods, using a variety of data tools, building and implementing models, using/creating algorithms and creating/running simulations. They must have a proven ability to drive business results with their data-based insights. The right candidate will have a passion for discovering solutions hidden in large data sets and working with stakeholders to improve business outcomes.

Data Visualization

Creative Thinking

Python

Machine Learning

Critical Thinking

Data Analysis

Senior Data Scientist

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. 
 
Duties &amp; Responsibilities:

<ul>
	<li>Develops automated data pipelines based on recommended solution by Data Engineering Lead using official ETL tools determined by Data Engineering Head</li>
	<li>Creates automated data pipeline design documentation, Source-to-Target spreadsheets, and technical design specifications.</li>
	<li>Provides technical expertise, troubleshoots, guides and supports during design, development, testing, production and post-production.</li>
	<li>Understands the source system, captures and documents business rules.</li>
	<li>Analyzes and proposes changes to maximize code reusability and maintain business value.</li>
	<li>Develops, implements and maintains highly efficient and scalable automated data pipeline processes.</li>
	<li>Provides expert technical knowledge and solutions pertaining to Data integration.</li>
	<li>Identify opportunities to optimize the automated data pipeline including environment setup, implement monitoring, quality and validation processes to ensure data accuracy and integrity.</li>
	<li>Provides inputs into data governance organization to drive the data governance charter.</li>
	<li>Ensures compliance to internal standards and guidelines.</li>
	<li>Conducts unit testing and component integration testing for solutions developed</li>
	<li>Reviews business and technical requirements and ensures the data integration platform meets requirements.</li>
	<li>Applies industry best practices for automated data pipeline design and development.</li>
	<li>Implementation of an end-to-end complex automated data pipeline system using common Big Data Tools such as (but not limited to) Apache Spark, Talend, Kafka, Airflow, NiFi i and Hadoop Tools.</li>
	<li>Implements monitoring and measurement of data quality as defined by business rules.</li>
	<li>Ensures adherence to architectural governance standards and practices.</li>
	<li>Develops best practices, standards of excellence, and guidelines for programming teams.</li>
	<li>Ensures compliance to the DevSecOps practice.</li>
	<li>Conducts System Testing - execute job flows, investigate system defects, resolve defects and document results</li>
	<li>Provides a level of effort estimates for new initiatives and change controls in order for projects to be evaluated, budgeted and tracked for success.</li>
</ul>

Sr. Data Engineer

<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 Databricks

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 Lead Data Engineer is responsible for designing, developing, and optimizing data infrastructure to ensure reliable pipelines, scalable architecture, and high-quality data for analytics and business needs. The role includes leading a team of data engineers, collaborating with cross-functional stakeholders, and implementing best practices in data transformation, validation, governance, and cloud-based solutions.

Duties &amp; Responsibilities:

<ul>
	<li>Lead and mentor a team of data engineers, fostering collaboration, innovation, and continuous improvement.</li>
	<li>Define and enforce data engineering standards, coding practices, and architectural guidelines.</li>
	<li>Partner with data scientists, analysts, and business stakeholders to translate requirements into scalable solutions.</li>
	<li>Design and maintain high-performance ETL/ELT pipelines and workflows.</li>
	<li>Build and optimize data lake, data warehouse, and streaming data solutions.</li>
	<li>Ensure systems support structured, semi-structured, and unstructured data sources.</li>
	<li>Develop data transformation and preparation processes to deliver clean, reliable, analytics-ready datasets.</li>
	<li>Implement validation, anomaly detection, and automated quality checks to ensure accuracy and consistency.</li>
	<li>Define and execute data remediation strategies to resolve issues with minimal business disruption.</li>
	<li>Implement and manage cloud-based data platforms (AWS, Azure, or GCP).</li>
	<li>Apply modern frameworks (e.g., Spark, Kafka, Airflow, DBT) for efficient data processing.</li>
	<li>Oversee data modeling, schema design, and database optimization (SQL/NoSQL).</li>
	<li>Ensure accuracy, consistency, and availability of data across platforms.</li>
	<li>Implement governance, lineage, validation frameworks, and security best practices.</li>
	<li>Monitor, troubleshoot, and optimize pipelines to meet SLAs and performance benchmarks.</li>
	<li>Stay current with emerging data engineering and analytics technologies.</li>
	<li>Recommend improvements to systems, tools, and processes to enhance scalability, reliability, and quality.</li>
	<li>Other job-related activities that may be assigned from time to time</li>
</ul>

Lead Data Engineer

AICines is four products in one: a streaming platform, an AI-powered social creation app, an AI creative studio where anyone can generate finished video from a prompt, and a film production house working with Hollywood studios on original content.

We build the generation, rendering and delivery systems that turn a prompt into a finished film. The problems are hard, the surface area is large, and the work ships to creators directly.

Our team is fully remote and globally distributed. We hire across engineering, AI/ML, data, marketing, customer support, and operations — and we work with people at every stage, from students and recent graduates through to senior specialists. Progression here is based on impact rather than tenure.

AICines Inc.

AICines is four products in one: a streaming platform, an AI-powered social creation app, an AI creative studio where anyone can generate finished video from a prompt, and a film production house working with Hollywood studios on original content.

As a Data Analyst Intern, you'll work directly with product, growth, and content data from a live platform with real users. This is not sandboxed work — your analysis will inform decisions the team actually acts on.

Responsibilities: 
- Build and maintain dashboards tracking user behaviour, retention, and engagement 
- Write SQL queries against production data to answer product and growth questions 
- Analyse acquisition channels, creator activity, and content performance 
- Turn raw findings into clear, actionable recommendations for the team 
- Support A/B tests and experiments from design through to readout 
- Contribute to data quality and reporting standards as the platform scales

What you get: 
- Fully remote with flexible working hours 
- Direct mentorship from founders and senior engineers 
- Hands-on exposure to production AI systems at consumer scale 
- Progression based on impact rather than tenure 
- Strong performers considered for full-time roles

Data Analyst Intern

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

Ateneo de Manila University (Ateneo) is one of the leading universities in the Philippines. More than 150 years in existence, Ateneo has grown into a major Jesuit institution. Officially it became a university in 1959. It offers over 100 academic degree programmes.

Ateneo offers Basic Education (Grade School, Junior High School, and Senior High School). In addition, Higher Education (College, Graduate, Continuing Education) is made up of nine schools (Education and Learning Design, Government, Graduate School of Business, Humanities, Management, Science and Engineering, and Social Sciences) located in 3 campuses in Quezon City, Makati City and Pasig City.

It has an array of research centres, 11 of which are recognized as Centres of Excellence by the Philippine Commission on Higher Education. In addition to a European Studies Programme, it has a Centre for Asian Studies that fosters comparative research on East and Southeast Asia.

Ateneo has 207 partnerships with universities around the world (82 in Europe, 87 in Asia, 11 in Australia and New Zealand, and 27 in North and South America) and is a member of the ASEAN Universities Network and 3 other international university networks. Ateneo’s Rizal Library is the most advanced in the Philippines with over 307,000 titles in its collection and online access to most major academic journals.

Ateneo de Manila University

Summary of Work Activities and Responsibilities:

The Data and Systems Head provides leadership in the strategic direction, governance, management, and continuous enhancement of OUDAA's advancement information, reporting, and analytics capabilities to support donor development, alumni engagement, fundraising, resource mobilization, institutional reporting, and data-informed decision-making.

The position serves as OUDAA's lead steward for advancement information and analytics, ensuring the quality, integrity, confidentiality, availability, and responsible use of advancement information. It likewise champions the effective use of information and a culture of data-informed decision-making across OUDAA.

Main Duties and Responsibilities

I. Advancement Information Planning and Strategic Oversight

<ul>
	<li>Provides and oversees implementation of strategic direction for the continuous enhancement of OUDAA’s advancement information, reporting, and analytics capabilities.
	<ul>
		<li>Aligns and defines advancement information, reporting, and analytics priorities and requirements in support of donor development, alumni engagement, fundraising, stewardship, resource mobilization, institutional reporting, and decision-making.</li>
		<li>Anticipates emerging information needs and evolving institutional requirements that may affect advancement information, reporting, analytics, and decision-support priorities.</li>
	</ul>
	</li>
	<li>Develops and monitors indicators for information quality, reporting effectiveness, and analytics usefulness.</li>
</ul>

II. Advancement Information Governance and Stewardship

<ul>
	<li>Provides direction on governance standards for advancement information and related data systems.</li>
	<li>Provides governance oversight of advancement information assets and supporting data systems.</li>
	<li>Exercises stewardship over sensitive and strategically significant advancement information.</li>
</ul>

III. Advancement Information Management

<ul>
	<li>Oversees the management of OUDAA’s advancement information assets and authoritative information sources.</li>
	<li>Directs the continuous improvement of advancement information management processes.</li>
</ul>

IV. Advancement Intelligence, Reporting, and Decision Support

<ul>
	<li>Oversees the generation and effective use of advancement intelligence, reporting, and analytics.
	<ul>
		<li>Strengthens institutional visibility, planning, advancement coordination, and resource mobilization efforts through reliable reporting and analytics.</li>
	</ul>
	</li>
	<li>Directs the continuous enhancement of reporting and analytics capabilities.</li>
</ul>

V. Information Partnership and Data-Informed Decision Support

<ul>
	<li>Serves as an internal advisor on advancement information, reporting, analytics, and information management matters.</li>
	<li>Promotes alignment and collaboration on advancement information priorities.</li>
	<li>Champions a culture of data-informed decision-making across OUDAA.</li>
</ul>

VI. Section Leadership and Management

<ul>
	<li>Coordinates with the rest of the leadership team of OUDAA and sets strategic direction and performance standards for the Advancement Information and Analytics Management Section.</li>
	<li>Assesses overall Section performance.</li>
	<li>Evaluates the Section’s current and future workforce requirements in relation to strategic and program needs, and guides workforce planning through capability development, succession planning, strategic deployment, and hiring recommendations to ensure sustained readiness.</li>
	<li>Ensures effective stewardship of Section resources.</li>
	<li>Leads staff development and engagement.</li>
</ul>

VII. Performs other work-related tasks as may be required by the immediate supervisor and authorized representative.

Data and Systems Head

Founded in 1987, Questronix Corporation has grown to be one of the largest IT solution provider and systems integrator in the Philippines. We offer best of breed solutions from IT infrastructure to business applications, built on world class technology companies and supported by our certified technical team with proven Filipino expertise and skills available in the country today.

In 1990, Questronix was appointed by IBM as its first business partner for IBM UNIX platform and the company evolved in providing end-to-end solutions that run on IBM technology. After a decade of investment, skills and commitment in working with IBM, Questronix was awarded the Premier Business Partner status, making our company the first Business Partner in the country to be elevated to this exclusive circle.

Our methodology on selecting our technology partners and implementation team for our services ecosystem allows us to deliver consulting-led systems integration focused on open standards, interoperability and proven best practices that result in higher project success rates.

Today, Questronix’s solutions suite include Data Center & IT infrastructure, IT Service Management, Security, Business Continuity, Hybrid Cloud Solutions, Mobility Solutions, Enterprise Resource Planning, Business Analytics, Enterprise Asset Management, Enterprise Content Management, Information and Data Management, Business Process Management and Industry Specific Solutions.

Approaching its 34th year in business, Questronix Corporation continuously strives to improve and evolve coupled by its enduring drive to deliver Filipino excellence and workmanship to its clients. As such, it has earned prestigious awards and recognitions – a proud testimony to its achievements that have firmly etched its name in the IT corporate landscape.

Questronix Corporation

<ol>
	<li style="display: block;"> </li>
	<li>Collect, clean, and preprocess data from various sources to ensure accuracy and consistency.</li>
	<li>Perform exploratory data analysis to identify trends, patterns, and correlations.</li>
	<li>Develop and maintain dashboards, reports, and visualizations to communicate key insights to stakeholders.</li>
	<li>Collaborate with stakeholders to define business requirements and develop analytical solutions to address their needs.</li>
	<li>Conduct statistical analysis and predictive modeling to support decision-making processes.</li>
	<li>Stay up-to-date with industry trends, best practices, and emerging technologies in data analysis and visualization.</li>
	<li style="display: block;"> </li>
</ol>

Data Analyst | Emerging Technologies

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}

Requirements

<ul>
	<li>3+ years of experience in Data Engineering or a related role.</li>
	<li>Hands-on experience with Databricks and Apache Iceberg.</li>
	<li>Strong SQL and Python skills.</li>
	<li>Experience with Spark/PySpark and distributed data processing.</li>
	<li>Strong understanding of Data Lake/Lakehouse architecture.</li>
	<li>Experience with cloud platforms such as AWS, Azure, or GCP.</li>
	<li>Knowledge of ETL/ELT, data modeling, and data pipeline development.</li>
	<li>Experience with Delta Lake, Kafka, or other data technologies is an advantage.</li>
</ul>

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Data Architect [Data Lakehouse]