82 Big Data jobs in the Philippines

"Must have requirements:
- At least 1-3 years experience with Data Engineering/Processing br>- Experienced with Javascript programming, Python, and SQL
- Hands on experience with Big Data or Cloud Data tools (Databricks, Hadoop, Azure Data Factory, AWS, PySpark)
- Exposure with Big Data or Cloud Data projects
Good to have:
- Exposure with AI or Machine Learning
- Experience with data engineering trainings or bootcamps"

DIRECT HIRING
br>What you'll be doing:
Develop, optimize, and maintain data pipelines and data architectures.
Perform root cause analysis on internal and external data issues, providing solutions to address business questions and identify improvement opportunities.
Build processes supporting data transformation, metadata management, dependency management, and workload orchestration.
Collaborate with product teams, data analysts, and other stakeholders to ensure data quality and alignment with business requirements.
Work with relational and NoSQL databases to develop solutions that manage large, complex datasets.
Optimize ETL processes and work with data governance teams to ensure regulatory compliance.
Monitor and improve data pipeline performance, scalability, and reliability.
Troubleshoot and resolve data-related issues, ensuring timely and accurate data availability.
Create and maintain documentation for data pipelines, architectures, and systems.
Ensure data governance practices are followed, including data validation, data lineage, and quality checks.

What we're looking for:
Must have a Bachelor’s degree in Computer Science, Statistics, Information Systems or related quantitative field. < r>3+ years of experience in a Data Engineer or Data Operations role.
Proficiency in SQL and experience with relational databases (e.g. Postgres, MySQL) and NoSQL databases
Hands-on experience building and optimizing data pipelines, data workflows and data architectures.
Experience working with cloud-based data platforms, particularly AWS services such as Redshift, EC2, RDS, and S3.
Familiarity with data integration tools such as AWS Glue, Informatica, and Talend.
Experience with scripting languages like Python, Java, etc. for data engineering tasks.
Strong understanding of data governance, data quality, and data security principles.
Excellent problem-solving, analytical skills, and the ability to interpret complex data sets.
Excellent communication skills to collaborate with cross-functional teams and non-technical stakeholders.
Strong project management and organizational skills, with the ability to manage multiple tasks effectively.
Self-motivated, proactive, and comfortable working independently and in teams.
Strong focus on data-driven decision-making and continuous improvement of data processes
Willing to work onsite (4x a week onsite, once a week remote) from our client's office in Pasay on a day shift under an initial 6-month contract, with the possibility of an extension.
Willing to start work immediately.

Job Title & Qualification: Cloud Data Engineer; 3 years of solid experience as a Data Engineer with expertise in cloud technology
br>Salary Range: Php 60, 000 to Php 80, 000 (depending on experience)

Nature of Engagement: Project-based for 6 months with a possibility of extension

Work Schedule: Hybrid (3 to 4 days a week onsite); 1-2 days work from home;

Work Location: UP Ayala Technopark, QC

Start-Date: June 2, 2025

Others: US Holidays will be observed instead of PH holidays

Data Engineer
**Position Title - Data Engineer**
**About Advanced Energy**
Advanced Energy Industries, Inc. (NASDAQ: AEIS), enables design breakthroughs and drives growth for leading semiconductor and industrial customers. Our precision power and control technologies, along with our applications know-how, inspire close partnerships and innovation in thin-film and industrial manufacturing. We are proud of our rich heritage, award-winning technologies, and we value the talents and contributions of all Advanced Energy's employees worldwide.
**Responsibilities:**
+ Work with business to understand their current state architecture and contributing data sources, technologies, interfaces, performance issues and system configurations.
+ Work closely with the team across the overall data warehousing program including data acquisition, data curation and data syndication.
+ Apply knowledge of the Microsoft platform tooling involved in successful Azure implementations.
+ Serve as the subject matter expert with respect to Azure, cloud applications and system administration best practices.
+ Experience designing data lakes, database schemas and data models for large scale data platform implementation on Azure.
+ Develop system integrations using, Azure Logic Apps, Integration services, Power Automate, PowerApps, etc.
+ Perform project management activities including project documentation, business requirements and project tracking.
+ Ensuring data quality and consistency through data cleaning, transformation, and integration processes.
+ Monitoring and troubleshooting data-related issues within the Azure environment to maintain high availability and performance.
+ Collaborating with data scientists, business analysts, and other stakeholders to understand data requirements and implement appropriate data solutions.
+ Implementing data security measures, including encryption, access controls, and auditing, to protect sensitive information.
+ Automating data pipelines and workflows to streamline data ingestion, processing, and distribution tasks.
+ Utilizing Azure's analytics services, such as Azure Synapse Analytics, to provide insights and support data-driven decision-making.
+ Keeping abreast of the latest Azure features and technologies to enhance data engineering processes and capabilities.
+ Documenting data procedures, systems, and architectures to maintain clarity and ensure compliance with regulatory standards.
+ Providing guidance and support for data governance, including metadata management, data lineage, and data cataloguing.
+ Tech Stack:
+ Python
+ SQL and NoSQL databases
+ Scala
+ Spark-SQL
+ Experience with Azure: ADLS, Databricks, Stream Analytics, SQL DW, COSMOS DB, Analysis Services, Azure Functions, Serverless Architecture, ARM Templates
**Qualifications:**
+ Bachelor's degree in Computer Science, Engineering, or a related field
+ Minimum of 5+ years of data and analytics field experience in the industries like manufacturing, engineering, supply chain with large-scale implementation experience.
+ 3-5 years in Data pipeline engineering role in Data and Analytics scope.
+ Working knowledge of Azure Analytics features such as Stream Analytics, Machine Learning and Application Insights.
+ Modelling and ETL knowledge with Erwin, Azure Databricks, Data Factory, SSIS and Azure Synapse.
+ Develop and maintain system integrations using, Azure Logic Apps, Integration Services, Power Automate, PowerApps, etc.
+ Microsoft Azure data platform experience with Power BI, Azure Data Lake, data warehouse and Data Factory.
+ Knowledge on migrating on-premises applications to Azure PaaS and Azure LaaS.
+ Attention to detail and ability to coordinate multiple tasks, set priorities and meet deadlines
+ Should be well versed with Data Structures & algorithms
+ Excellent analytical and problem-solving skills.
+ Ability to work independently as a self-starter, and within a team environment.
+ Good Communication skills- Written and Verbal
As part of our total rewards philosophy, we believe in offering and maintaining competitive compensation and benefits programs for our employees in order to attract and retain a talented, highly engaged workforce. Our compensation programs are focused on equitable, fair pay practices including market-based base pay, an annual pay-for-performance incentive plan, we offer a strong benefits package in each of the countries in which we operate.
**Advanced Energy is committed to diversity in its workforce including Equal Employment Opportunity for Minorities, Females, Protected Veterans, and Individuals with Disabilities.**
**We are committed to protecting and respecting your privacy. We take your privacy seriously and will only use your personal information to administer your application in accordance with the RA No. 10173 also known as the Data Privacy Act of 2012.**

Data Engineer
**Position Title - Data Engineer**
**About Advanced Energy**
Advanced Energy Industries, Inc. (NASDAQ: AEIS), enables design breakthroughs and drives growth for leading semiconductor and industrial customers. Our precision power and control technologies, along with our applications know-how, inspire close partnerships and innovation in thin-film and industrial manufacturing. We are proud of our rich heritage, award-winning technologies, and we value the talents and contributions of all Advanced Energy's employees worldwide.
**Position Summary**
We are seeking a talented data engineer with expertise in Power BI, Azure Data Factory, Databricks, Python, data warehousing, data lakes, and DevOps. The ideal candidate will have experience in AI and machine learning, with a passion for designing and implementing innovative solutions that drive business outcomes
**Responsibilities:**
+ Design, develop, and implement data engineering solutions using Power BI, Azure Data Factory, Databricks, Python, data warehousing, and data lakes.
+ Work collaboratively with data analysts, data scientists, and business stakeholders to understand requirements, identify opportunities for automation and optimization, and deliver innovative solutions.
+ Build and maintain efficient data pipelines, ensuring data quality and accuracy, and implement appropriate data governance and security controls.
+ Automate and streamline processes to enable faster and more efficient delivery of data-driven insights.
+ Develop and maintain DevOps processes for data engineering, including continuous integration and continuous delivery.
+ Stay up-to-date with emerging technologies and industry trends, identifying opportunities to incorporate new tools and techniques into our data engineering processes.
**Qualifications:**
+ Bachelor's degree in Computer Science, Engineering, or a related field.
+ At least 3 years of experience in data engineering, with a focus on Power BI, Azure Data Factory, Databricks, Python, data warehousing, and data lakes.
+ Strong experience in DevOps processes, including continuous integration and continuous delivery.
+ Experience in AI and machine learning, with a proven track record of implementing data-driven solutions in a business context.
+ Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams and business stakeholders.
+ Familiarity with Agile development methodologies and project management tools.
+ With passion for learning and staying up-to-date with emerging technologies and industry trends.
As part of our total rewards philosophy, we believe in offering and maintaining competitive compensation and benefits programs for our employees in order to attract and retain a talented, highly engaged workforce. Our compensation programs are focused on equitable, fair pay practices including market-based base pay, an annual pay-for-performance incentive plan, we offer a strong benefits package in each of the countries in which we operate.
**Advanced Energy is committed to diversity in its workforce including Equal Employment Opportunity for Minorities, Females, Protected Veterans, and Individuals with Disabilities.**
**We are committed to protecting and respecting your privacy. We take your privacy seriously and will only use your personal information to administer your application in accordance with the RA No. 10173 also known as the Data Privacy Act of 2012.**

Responsibilities:

• Manage the design, development, implementation, and maintenance of the company's data sources.
• Establish and enforce data management policies to ensure the quality, integrity, and security of enterprise data.
• Design, develop, and implement ETL pipelines using various integration tools.
• Collaborate with Data Analysts to translate analytics requirements into scalable and efficient data model designs.
• Create and maintain robust data warehouse architectures to support organizational data needs.
• Ensure consistent data quality by performing routine testing and troubleshooting of ETL pipelines.
• Coordinate closely with the Application Development team to implement best practices in data processing and integration.
• Maintain comprehensive documentation of applied changes in production databases.
• Perform other tasks and projects as assigned by the Senior IT Manager.

Qualifications:

• Bachelors degree in Information Technology or a related field.
• Strong understanding and familiarity with ETL processes.
• Proficiency in data integration tools such as Oracle Data Integrator and Informatica.
• Expertise in SQL, Python, and other programming languages.
• Experience with Greenplum and Talend is a plus.
• Ability to work onsite and flexibility to extend working hours when needed.
• Proactive, detail-oriented, and capable of working effectively under pressure.

Responsibilities:

• Manage the design, development, implementation, and maintenance of the company's data sources.
• Establish and enforce data management policies to ensure the quality, integrity, and security of enterprise data.
• Design, develop, and implement ETL pipelines using various integration tools.
• Collaborate with Data Analysts to translate analytics requirements into scalable and efficient data model designs.
• Create and maintain robust data warehouse architectures to support organizational data needs.
• Ensure consistent data quality by performing routine testing and troubleshooting of ETL pipelines.
• Coordinate closely with the Application Development team to implement best practices in data processing and integration.
• Maintain comprehensive documentation of applied changes in production databases.
• Perform other tasks and projects as assigned by the Senior IT Manager.

Qualifications:

• Bachelors degree in Information Technology or a related field.
• Strong understanding and familiarity with ETL processes.
• Proficiency in data integration tools such as Oracle Data Integrator and Informatica.
• Expertise in SQL, Python, and other programming languages.
• Experience with Greenplum and Talend is a plus.
• Ability to work onsite and flexibility to extend working hours when needed.
• Proactive, detail-oriented, and capable of working effectively under pressure.

 Responsibilities:

Design, build, and maintain ETL pipelines for ingesting and transforming data from diverse sources.

Work with structured data using relational databases such as PostgreSQL, MySQL, or similar.

Implement workflow orchestration with tools like Apache Airflow, AWS Glue , Argo workflow etc.

Collaborate with data analysts and product teams to translate business needs into technical solutions.

Ensure data quality, consistency, and documentation across the pipeline.

Support monitoring and debugging of data processes in production environments.

Requirements

Requirements: 

4+ years of experience in data engineering or backend data processing.

Strong Python skills (pandas, PySpark, etc.).

Proficiency in writing and optimizing SQL queries.

Experience with ETL development and orchestration tools.

Familiarity with relational databases (preferably PostgreSQL).

Strong attention to detail and problem-solving skills.

Benefits

What we offer:

Competitive Salary Package: Receive a pay package that matches your skills and experience.

Vacation and Sick Leave credits: Enjoy vacation and sick leave credits to maintain work-life balance.

Health Coverage: Get medical, dental, and vision insurance for you and your dependents.

Government-Mandated Benefits: Full coverage of all statutory benefits like SSS, PhilHealth, and Pag-IBIG.

Learning Opportunities: Access training, certifications, and mentorship to grow your career.

Team Engagement: Join team-building activities and wellness programs.

Modern Tools: Use the latest technology to excel in your role.

Career Growth: Clear paths for promotion and professional development.

Inclusive Culture: Be part of a diverse, supportive, and collaborative global team.

This is a remote position.

Our partner is a leading data-driven marketing tech company headquartered in New York, operating on four continents with 1,300+ employees. Our client offers CRM, customer acquisition, strategic managed services, and private data cloud solutions. Our customer powers ‘end to end’ marketing programs for some of the world’s leading brands.

Junior Data Engineer

We are looking for a highly motivated and technically strong Data Engineer to join our growing team. The ideal candidate will have experience working in fast-paced, agile environments, with a proven track record of building robust, scalable data solutions. Prior exposure to the marketing technology industry is a strong advantage, as the role involves supporting data workflows and infrastructure for performance marketing, audience analytics, and campaign reporting. 

This role requires someone who can work independently with a strong personal agency— proactively identifying opportunities, resolving issues, and taking ownership of data projects with minimal supervision. You should be comfortable managing ambiguity and taking initiative to drive outcomes that create business impact. Responsibilities:

Design, build, and maintain scalable and reliable data pipelines across multiple platforms and data sources. 

Enable secure, high-quality ingestion, transformation, and storage of large-scale datasets. 

Collaborate closely with analytics, product, and engineering teams to support reporting, decision-making, and data science use cases.

Develop and optimize ETL/ELT workflows using modern orchestration tools and frameworks.

Monitor data job performance and system health, proactively resolving issues and improving automation.

Support data quality, governance, lineage, and documentation across our ecosystem.

Work in an agile, collaborative environment with sprint-based planning and delivery.

Operate with autonomy and take initiative to solve problems and move work forward without waiting for instruction.

Adjust and contribute across varying work schedules/shifts, supporting crossregional needs.

Requirements

3+ years of experience in a Data Engineering or similar technical role.

Strong experience with data orchestration tools like Airflow, dbt, or equivalents.

Proficient in working with cloud data platforms such as Snowflake, Redshift, or BigQuery.

Solid understanding of data modeling, warehousing, and distributed processing (e.g., Spark, Hive).

Proficient in SQL and scripting languages (e.g., Python or Scala).

Experience working in agile environments, with tools such as JIRA or Asana.

Familiarity with CI/CD processes, version control, and workflow automation.

Preferred Qualifications:

 Experience working in or with marketing technology platforms, digital advertising, or customer data infrastructure.

Exposure to campaign performance data, audience segmentation, or attribution modeling.

Comfortable with diverse data formats (Parquet, JSON, CSV) and APIs.

Benefits

Competitive Salary Package: Receive a pay package that matches your skills and experience.

Vacation and Sick Leave credits: Enjoy vacation and sick leave credits to maintain work-life balance.

Health Coverage: Get medical, dental, and vision insurance for you and your dependents.

Government-Mandated Benefits: Full coverage of all statutory benefits like SSS, PhilHealth, and Pag-IBIG.

Learning Opportunities: Access training, certifications, and mentorship to grow your career.

Team Engagement: Join team-building activities and wellness programs.

Career Growth: Clear paths for promotion and professional development.

Inclusive Culture: Be part of a diverse, supportive, and collaborative global team.

Referral Rewards: Earn bonuses for bringing great talent to the team.