206 Big Data jobs in the Philippines
Big Data Engineer
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POSITION PURPOSE: The big data team is responsible for developing, monitoring and maintaining the data warehouse and the integration of business development tools to enable a more strategic, tactical and operational business. Big data technologies include AWS hosted databases and components such as Postgres and Redshift DB's, AWS Data Pipelines, Lambda functions and Python code to deliver scalable solutions to the business.
KEY RESPONSIBILITIES:
- Designing and implementing the architecture of ETL using PySpark and SQL language in AWS Glue.
- Designing and developing transactional and analytical data structures.
- Aligning the Data technical capabilities to business objectives.
- Developing reporting solutions to support Business Intelligence, including resolving problems related to data analysis and reporting services.
- Establishing and maintaining policies, operational procedures, and associated documentation for user interaction with the database environment.
- Following Firstmac standards and best practice for the deployment of AWS components and code using source code controls such as BitBucket, and utilizing DevOps tools (e.g., Terraform), apps, and CLI as appropriate.
- Recommending improvements to existing approaches and practices within Data Governance forums and other appropriate meetings.
TECHNICAL SKILLS:
- Python 3+ including Virtual environments, PIP, Pypy, Package development, Boto3, sqlalchemy, Pytest
- ETL / ELT experience with SQL & Python within a big data environment.
- Experience with SQL and NoSQL databases
- Excellent coding skills, source control management (ie git) across programming languages with a strong focus on unit and integration testing
- SQL (ANSI, TSQL, PL/pgSQL)
- Experience in deploying AWS components remotely using AWS CLI Ability to perform database modelling and design, develop, debug, troubleshoot database objects, stored procedures and functions
- Knowledgeable on LINUX with the ability to program shell scripts
- Experience in developing and maintaining software solutions within the AWS ecosystem (S3, Redshift, DynamoDB).
JOB QUALIFICATIONS:
- With at least 3-5 years of work experience and familiarity with the entire software development life cycle and facilitating agile practices and methodology
- Graduate of Bachelor's Degree in Computer Science, Computer Engineering, Information Technology or related fields
KEY COMPETENCIES:
- Reporting and Analysis: Understanding of constructing, designing, and reporting using Power BI and a dimensional data warehouse.
- Communication: Proficient in communicating insights from Reports and Analysis to the business.
- Numeric and Data Analytics Skills: Prior experience implementing and utilizing analytics with BI tools such as Power BI, Python, and MongoDB data.
- Database Skills: Experience in working with databases and analysing insights preferably with Athena, Redshift, MongoDB.
IMPORTANT NOTE:
- 100mbps minimum internet speed.
- An ideal work space set-up for optimized work productivity is a given.
- Company asset (laptop) will provided upon hiring.
Interested parties may apply direct to Jobstreet. Interviews to be done online remotely by video call with Human Resources.
Software Engineer – Big Data
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EROAD, a New Zealand–headquartered product company, is building its pioneering engineering team in the Philippines We are looking for a Software Engineer – Big Data to design and deliver data-driven software solutions that will make roads safer and more sustainable worldwide.
This is a unique opportunity to join the groundbreaking PH team of a global company — working directly with engineers, data specialists, and product managers across New Zealand while enjoying hybrid flexibility in Manila.
Your work will have real-world impact, embedding analytics and insights into EROAD's core platforms to transform massive datasets into actionable intelligence.
Tech Stack & Tools
- Languages: Java (primary), plus Python or Scala (bonus)
- Cloud: AWS (primary), Azure, Snowflake
- Big Data & Streaming: Kinesis, Kafka, Glue, Flink, Lambda, Azure Data Factory
- Databases: Advanced SQL (T-SQL, ANSI SQL), relational DBs, query optimisation
- Architecture: Microservices, containers (Docker, EKS/ECS/AKS), RESTful APIs
- Infrastructure as Code: Terraform
- CI/CD: GitHub Actions, Git-based workflows
- Bonus Skills: Snowflake, dbt, Apache Iceberg, React/Redux
Responsibilities
- Build and maintain data pipelines and infrastructure for streaming, batch, and API data sources.
- Develop scalable, secure REST APIs and event-driven services.
- Design and optimise large datasets for scalability, security, and cost efficiency.
- Automate cloud infrastructure provisioning via Terraform.
- Implement and maintain CI/CD pipelines with GitHub Actions.
- Ensure data quality, lineage, security, and compliance across systems.
- Collaborate with global cross-functional teams to deliver analytics solutions that create business value.
Requirements
- 3+ years in software engineering or data engineering
- Strong background in Java (Python/Scala a plus)
- Hands-on experience with cloud-native applications (AWS preferred, Azure a plus)
- Proven experience with ETL/ELT pipelines (streaming & batch)
- Strong SQL skills (query tuning, performance optimisation)
- Familiarity with microservices & container orchestration (EKS/ECS/AKS)
- Proficient with Terraform or similar IaC tools
- Experience designing REST APIs (OpenAPI/Swagger standards)
- Bonus: Snowflake, dbt, Apache Iceberg, React
Job Types: Full-time, Permanent
Benefits:
- Health insurance
- Life insurance
- Opportunities for promotion
- Paid training
- Pay raise
- Promotion to permanent employee
- Work from home
Application Question(s):
- May I know the reason why you are now actively looking for a job, and how much was your last basic pay, including allowances and benefits?
- What is your expected salary?
- Are you willing to report onsite 3 days a week in Pasig and 2 days WFH?
- How soon can you start working with us?
- Please provide your active email address?
Experience:
- Software/Data Engineering: 3 years (Required)
- Java Programming (backend services): 3 years (Required)
- Cloud Platforms (AWS or Azure): 3 years (Required)
- Big Data / ETL/ELT Pipelines (batch/streaming): 3 years (Required)
- REST API Development (OpenAPI/Swagger standards): 3 years (Required)
- Microservices & Containerization: 2 years (Preferred)
- SQL (T-SQL / ANSI SQL, query tuning, performance opt): 1 year (Preferred)
- CI/CD Pipelines (GitHub Actions or similar): 1 year (Preferred)
- Snowflake, dbt, Apache Iceberg: 1 year (Preferred)
Work Location: In person
IT Business Analyst – Big Data
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Overview
As a Business Analyst, you serve as a critical link between business needs
and the vast potential of data-driven insights. Your role encompasses a wide range
of responsibilities, from eliciting requirements to driving continuous improvement
initiatives. Collaborating closely with stakeholders and data experts, you leverage
cutting-edge technologies to unlock the value of data and drive strategic decision making.
Qualifications
- Bachelor's/College Degree in Computer Science, Information Management, Information Technology, Engineering (Computer/Telecommunication) or equivalent courses.
- Proficiency in managing relational database, such as Hive, Spark, MySQL, etc. is a plus.
- Proficiency in data modeling, database design, data mining and segmentation techniques is a plus.
- Strong problem-solving abilities with a disciplined and systematic approach.
- Proficient in SQL with excellent written and comprehension abilities in the language
- Excellent oral and written communications skills in English; Mandarin is a plus.
- Working knowledge of statistics and experience using statistical packages for analyzing datasets.
- Willing to work onsite in BGC, Taguig City
- Understanding of software design patterns and architectural principles
Responsibilities
- Conduct requirements elicitation, translating these into clear and organized business requirement, and prioritizing development and delivery in close
- coordination with key stakeholders and management.
- Perform various data analysis activities, including data mining, exploration and discovery, feature analysis, data modeling, portrait labeling, etc.
- Work closely with business owners to ensure any change in data structure and data elements are properly coordinated with the upstream team.
- Stakeholder Management: communicate and negotiate with key stakeholders and process owners to achieve a win-win solution given the constraints on costs, resources, skills, time, and other priorities.
- Project Management: plan, initiate, and manage constraints and deliverables to successfully complete and deliver project results.
- Quality Assurance: proactively manage incidents, problems, issues, and risks by implementing various techniques, methods, and best practices.
- Documentation and Knowledge Management: organize and prepare documentation of knowledge materials, including requirements specifications, solution design, flow charts, user manuals, etc., to ensure that all relevant information is recorded, stored, accessible and reusable.
- Improvement Initiatives: Research, assess, and employ best practices in data management, analysis, and controls, and continually enhance system functions and capabilities
- Work in a cross functional environment to source information, interact with diverse groups, and facilitate in delivering positive outcomes.
Data Analytics
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APAC Assurance Analytics Delivery Specialist (Data Analytics Associate)
APAC Data and Intelligence Delivery Team
EY's commitment to the quality and integrity of our audits is exemplified by our global audit methodology
and our thorough quality controls that are applied to every client engagement. Together with our substantial investments in technology, knowledge, and learning resources on behalf of our audit
professionals, this commitment enables us to deliver quality assurance services to our clients and their
stakeholders.
The use of data analytics and automation of processes is a key focus of EY's Assurance practice and an
integral part of the audit services we provide to our clients. The process to request, capture, transfer, transform and prepare client data for analysis is a foundational prerequisite to integrating analytics into
the audit and is the central mission of our Data and Intelligence Delivery Team. The Data and Intelligence
Delivery Team collaborates with Assurance teams to deliver in depth data analysis across a variety of
business processes, for a wide range of clients.
We are currently seeking qualified candidates for an excellent career opportunity as an APAC Analytics
Delivery Specialists (Data Analytics Associate) for the APAC Data and Intelligence Delivery team. The successful candidate will be joining a team which will be dynamic as it grows to support the APAC
Assurance business. The reporting line will be into the APAC Data and Intelligence Delivery Team Lead in
Manila.
Key Responsibilities include:
- Manage a portfolio of engagements as assigned by the APAC Data and Intelligence Delivery
resourcing administrator through a web-based tracking site. - Work with engagement teams to create a repeatable analytics delivery process that allows teams
to understand, cleanse and transform complex data sets to an easily digestible format through the
use of data analytics tools. - Develop and maintain relationships with engagements teams and commit to create a common user
experience through a standardized analytics approach. - Complete data analytics projects based on an agreed service-level agreement (SLA) and escalate
long outstanding projects to the APAC Data and Intelligence Delivery Market Operations Lead. - Create working papers documenting the procedures performed in a concise and organized
manner, and meet the requirements set forth in the audit methodology. - Apply best practices in managing data efficiency throughout the data delivery process.
- Stay up-to-date with new analytics techniques, auditing and accounting standards which impact the
use data analytics in audit engagements.
Qualification, Certification, Education
To qualify, candidates must have:
- A degree in accounting, management accounting, accounting technology and other related fields.
- Relevant knowledge of data analytics software (e.g., MS SQL Server, Alteryx), is a plus.
- Relevant knowledge of data visualization tools (e.g., Spotfire,Microsoft Power BI) and other ERP (Enterprise Resource Planning) specific tools (e.g. SAP, Oracle), is a plus.
- A strong understanding of business processes and related risks particularly those that impact financial reporting.
- Basic understanding of working with remote desktop protocols, file shares and SQL servers.
- Project management skills in handling multiple projects with conflicting demands, timeframes, and stakeholders.
- Strong communication and interpersonal skills needed to build relationships with engagement teams.
- An ability to function well in high pressure situations.
- Effective writing and presentation skills.
- Integrity within a professional environment.
Data Analytics
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CIRROLYTIX
is a
social impact AI company
on a mission to help individuals and institutions unlock their full human potential by harnessing the power of data and artificial intelligence. We champion the responsible adoption of AI to uplift lives, particularly in the Philippines, and to mitigate the societal risks of misuse or failure of AI systems. Every project we work on is grounded in these principles.
We are seeking an intern with strong interest in
data analytics and technical skills
who is also willing to take part in
non-technical responsibilities
like
community engagement
and
event coordination
.
The role is primarily focused on
data work
--collecting, cleaning, analyzing, and visualizing information using tools like Excel, Python, and NLP libraries. But since our work connects data with people, you'll also support outreach and events that bring insights to stakeholders.
This position is
mostly remote
, with about
one week onsite (non-consecutive days)
for encoding, events, or coordination that requires in-person presence.
Contract
: 2 months
Work Arrangement
: Mostly Remote (with ~1 week required onsite, spread across different days)
Technical
- Collect, encode, and clean datasets for analysis.
- Apply descriptive statistics and diagnostic methods to uncover trends.
- Use Python, R, or similar tools for wrangling, analysis, and automation.
- Apply basic NLP techniques such as text cleaning, keyword extraction, or sentiment tagging.
- Build visuals (charts, dashboards, infographics) in Excel, Power BI, Tableau, or Python libraries.
- Draft clear, data-driven insights that can be shared with non-technical audiences.
Community Engagement & Events
- Assist in outreach to partners and stakeholders, sharing findings in accessible ways.
- Help prepare content (updates, briefs, social media posts) based on project outputs.
- Support planning and logistics for workshops, webinars, or team activities.
- Provide onsite or virtual assistance during events (registrations, note-taking, participant coordination).
General Support
- Keep records organized and updated.
- Follow confidentiality and data protection protocols.
- Contribute to other team tasks as needed.
Skills You'll Develop
- Technical Depth:
Data wrangling, statistics, Python/R, and basic NLP. - Visualization:
Presenting data clearly in dashboards, charts, and reports. - Communication:
Explaining technical outputs in plain language. - Community & Events:
Understanding how data connects to people through engagement and activities. - Adaptability:
Building a profile that balances analytical expertise with people-oriented skills.
Qualifications
- Currently enrolled in or recently graduated from a program in
Data Science, Statistics, Computer Science, Social Sciences, Business, Communications,
or related fields. - Strong skills in Excel (required).
- Familiarity with Python, R, or similar tools is an advantage.
- Exposure to NLP techniques is a plus.
- Strong organizational, writing, and communication skills.
- Willingness to learn both technical and community-facing responsibilities.
- Ability to handle sensitive information responsibly.
What You'll Gain
- Practical experience in
data analytics, NLP, and visualization tools
. - Skills in
community engagement and event coordination
. - A well-rounded profile combining analytical and people-oriented abilities.
- Mentorship and guidance from professionals in
analytics, research, and social impact
. - A skillset adaptable to industries like tech, consulting, non-profit, and business.
Data Analytics
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Role Overview
The Data Analytics & Reporting Analyst will be responsible for collecting, analyzing, and transforming data into actionable insights that support strategic and operational decision-making. This role will work closely with cross-functional teams to develop dashboards, reports, and data models that improve visibility into performance metrics, service delivery, and operational efficiency.
Job Responsibilities:
- Data Visualization using reporting tools such as Power BI, Tableau, or similar platforms.
- Data Manipulation and Analysis using structured and semi-structured data to identify trends, anomalies, and opportunities for improvement.
- Collaborate with stakeholders to define and document KPIs and reporting requirements.
- Ensure data integrity through validation, cleansing, and quality assurance processes.
- Support executive reporting needs, including Service Desk measures and productivity metrics.
- Automate recurring reports and streamline data workflows using SQL, Python, or R.
- Participate in data governance and alignment initiatives across business units.
- Present findings and recommendations to leadership and operational teams.
Job Qualifications:
Education & Experience
- Bachelor's degree in data science, statistics, computer science, or related field.
- 3+ years of experience in data analytics, reporting, or business intelligence.
- Proficiency in SQL and Excel (Pivot Tables, VLOOKUP, etc.).
- Experience with data visualization tools (Power BI, Tableau).
- Strong analytical and problem-solving skills.
- Excellent communication and presentation abilities
Skills & Competencies
- Strong collaboration, communication and interpersonal skills with the ability to work on a fast paced environment
- Deep understanding of ITIL framework, ITSM and service management principles.
- Hands-on experience in Service Level reports
- Excellent organizational and multitasking abilities, with keen attention to details.
- Willing to work on US Daytime schedule and follow US Flexible Holiday
- Experience in healthcare, managed care, or technical support environments.
- Familiarity with Snowflake, Datamart, and enterprise dashboarding tools.
- Knowledge of statistical modeling and predictive analytics.
- Exposure to reporting alignment practices in Service Desk operations (e.g., AHT, FCR, Resolution Rate, MTTR)
- Nice to have skills: Machine Learning, Statistics and Scripting
Data Analytics
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Job Title:
Data Analytics / Reports Analyst Supervisor
Location:
Taguig
Work Setup:
Hybrid
Salary:
Negotiable
About the Role:
We are seeking a Reports Analyst Supervisor with strong analytical, reporting, and leadership skills. This role is responsible for overseeing reporting processes, ensuring accuracy, and delivering actionable insights that support business decision-making.
Key Responsibilities:
- Supervise and guide reporting analysts to ensure quality and timeliness of deliverables.
- Create and manage daily, weekly, and monthly reports for leadership teams.
- Develop dashboards and reports using Excel, SFDC, Tableau, and other analytics tools.
- Perform data analysis to identify trends, opportunities, and process improvements.
- Streamline and enhance reporting processes for efficiency and automation.
- Collaborate with cross-functional teams to meet reporting and business requirements.
Qualifications:
- Proven experience in people management.
- Background in healthcare and/or insurance
. - Advanced expertise in MS Excel (formulas, functions, pivots, slicers, PowerPivot)
. - Knowledge of MS Access, SFDC reporting, Tableau, and data integration tools
. - Familiarity with Splunk/Datadog, Python
(Pandas), and telemetry data analysis. - Strong analytical and problem-solving skills.
- Excellent communication and presentation abilities.
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Data Analytics
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Data Analytics / Reports Analyst Supervisor
Location: Taguig (Hybrid)
Salary: ₱50K (negotiable based on experience)
Start Date: Immediate
About the Role
We are looking for a Reports Analyst Supervisor with strong leadership and data analytics skills to manage a reporting team and deliver high-quality reports to business stakeholders in the healthcare/insurance domain.
Key Responsibilities
- Supervise and mentor a team of reporting analysts.
- Design, prepare, and deliver daily, weekly, and monthly reports.
- Provide insights through advanced Excel reporting, pivot tables, slicers, and PowerPivot.
- Work closely with leadership teams to address reporting requirements.
- Ensure data accuracy and integrity in reporting solutions.
Qualifications
- People management experience required.
- Background in healthcare and/or insurance preferred.
- Advanced proficiency in MS Excel (Pivot, PowerPivot, slicers, complex formulas).
- Experience with MS Access and data analysis.
- Strong reporting and presentation skills (PowerPoint).
- Willing to work onsite in Taguig (hybrid setup).
Job Type: Full-time
Pay: Php50,000.00 per month
Application Question(s):
- Do you have experience managing or supervising a reporting/analytics team?
- Have you worked in the healthcare or insurance domain?
- How advanced are your skills in MS Excel (pivot tables, PowerPivot, slicers)?
- Are you comfortable using MS Access for reporting and analysis?
- Are you open to a hybrid work arrangement in Taguig?
- Last drawn salary
- expected salary
Work Location: On the road
Data Analytics
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Key responsibilities
- Request and monitor submission of claims utilization report based on the agreed timeline.
- Ensures completeness of data that requires to create the presentation material and analytics.
- Preparation of claims analysis based on the submitted reports and analytics coming from the insurer and data coming from HR (APE Results). Preparation for Clinic Management
- Ensure accuracy of the utilization report.
- Request and monitor submission of claims utilization report based on the agreed timeline.
- May be requested to present to the client.
- Perform other duties that may be assign from time to time
Qualifications
Proficient in Microsoft Office ( MS Excel & Powerpoint )
- Ensures completeness of data that requires to create the presentation material and analytics.
- With good communication skills (verbal and written). May be requested to present to the client.
- Proficient in Microsoft Office ( MS Excel & Powerpoint )
- With Medical Background.
- With background in creation of HMO utilization reports.
- With good communication skills (verbal and written).
Job Type: Full-time
Pay: Php20, Php25,000.00 per month
Work Location: In person
Data Analytics Specialist
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Overview:
The
Data Analytics Specialist
will support the Customer Lifecycle Management and Sales teams in providing performance visibility and in deriving insights to steer the CLM and Sales teams in achieving targets.
What you will do:
- Find, analyze, and propose and report areas for improvement in customers' journey with our bank and wallet products
- Regular and timely reporting on CLM and Sales performance
- Ad-hoc calculations of CLM, sales and bank related KPIs
- Coordination with the CLM and Sales teams and other stakeholders
- Automation Builds of reports
- Creation and delivery of performance decks
What we are looking for:
- Degree in Math, Statistics, Engineering, Computer Science, IT or equivalent
- At least 5 years of experience in scripting using Excel, SQL and Python
- Experience and working understanding with bank products including deposits and lending products.
- Led or part of team that managed Customer Lifecycle
- Working knowledge in PowerBI, Tableau, Database Extraction