780 Azure Data jobs in the Philippines

Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems.

Summary:

As a Data Engineer, you will design, develop, and maintain data solutions that facilitate data generation, collection, and processing. Your typical day will involve creating data pipelines, ensuring data quality, and implementing ETL processes to migrate and deploy data across various systems. You will collaborate with team members to address challenges and contribute to the overall success of data initiatives.

Roles & Responsibilities:

• Expected to perform independently and become an SME.
• Required active participation/contribution in team discussions.
• Contribute in providing solutions to work related problems.
• Collaborate with cross-functional teams to gather requirements and translate them into technical specifications.
• Monitor and optimize data pipelines for performance and reliability.
• Document data processes and workflows to ensure clarity and knowledge sharing.
• Stay updated with industry trends and best practices in data engineering.
• Assist in troubleshooting and resolving data-related issues as they arise.

Professional & Technical Skills:

• Required Skill: Expert proficiency in Microsoft Azure Data Services.
• Additional Good To Have Skills: Experience with Data Engineering.
• Strong understanding of data modeling and database design principles.
• Experience with ETL tools and data integration techniques.
• Familiarity with cloud computing concepts and services.
• Proficient in programming languages such as Python or SQL for data manipulation.

Additional Information:

- The candidate should have minimum 2 years of experience in Microsoft Azure Data Services.

- This position is based at our Manila office.

Minimum 2 year(s) of experience is required

Position: Azure Data Engineer

Location: Remote

Employment Type: Full Time

Work Shift: Regular

A Data Engineer designs data products and data pipelines that are resilient to change, modular, flexible, scalable, reusable, and cost effective. Utilizes software engineering principles to deploy and maintain fully automated data transformation pipelines that combine a large variety of storage and computation technologies to handle a distribution of data types and volumes in support of data architecture design.

As a Data Engineer, you will:

• Design, develop, and maintain data pipelines and ETL processes using Microsoft Azure services (e.g., Azure Data Factory, Azure Synapse, Azure Databricks, Azure Fabric).
• Utilize Azure data storage accounts for organizing and maintaining data pipeline outputs.  (e.g., Azure Data Lake Storage Gen 2 & Azure Blob storage).
• Collaborate with data scientists, data analysts, data architects and other stakeholders to understand data requirements and deliver high-quality data solutions.
• Optimize data pipelines in the Azure environment for performance, scalability, and reliability.
• Ensure data quality and integrity through data validation techniques and frameworks.
• Develop and maintain documentation for data processes, configurations, and best practices.
• Monitor and troubleshoot data pipeline issues to ensure timely resolution.
• Stay current with industry trends and emerging technologies to ensure our data solutions remain cutting-edge.
• Manage the CI/CD process for deploying and maintaining data solutions.

Requirements:

• Bachelor's degree in computer science, Engineering, or a related field (or equivalent experience) and able to demonstrate high proficiency in programming fundamentals.
• Proven experience (3+ years) as a Data Engineer or similar role dealing with data and ETL processes.
• Strong knowledge of Microsoft Azure services, including Azure Data Factory, Azure Synapse, Azure Databricks, Azure Blob Storage and Azure Data Lake Gen 2.
• Experience utilizing SQL DML to query modern RDBMS in an efficient manner (e.g., SQL Server, PostgreSQL).
• Strong understanding of Software Engineering principles and how they apply to Data Engineering (e.g., CI/CD, version control, testing).
• Experience with big data technologies (e.g., Spark).
• Strong problem-solving skills and attention to detail.
• Excellent communication and collaboration skills.

Preferred Qualifications:

• Learning agility
• Technical Leadership
• Consulting and managing business needs
• Strong experience in Python is preferred but experience in other languages such as Scala, Java, C#, etc. is accepted.
• Experience building spark applications utilizing PySpark.
• Experience with file formats such as Parquet, Delta, Avro.
• Experience efficiently querying API endpoints as a data source.
• Understanding of the Azure environment and related services such as subscriptions, resource groups, etc.
• Understanding of Git workflows in software development.
• Using Azure DevOps pipeline and repositories to deploy and maintain solutions.
• Understanding of Ansible and how to use it in Azure DevOps pipelines.

Required Experience

• Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent experience) and able to demonstrate high proficiency in programming fundamentals.
• Proven experience (3+ years) as a Data Engineer or similar role dealing with data and ETL processes.
• Strong knowledge of Microsoft Azure services, including Azure Data Factory, Azure Synapse, Azure Databricks, Azure Blob Storage and Azure Data Lake Gen 2.
• Experience utilizing SQL DML to query modern RDBMS in an efficient manner (e.g., SQL Server, PostgreSQL).
• Strong understanding of Software Engineering principles and how they apply to Data Engineering (e.g., CI/CD, version control, testing).
• Experience with big data technologies (e.g., Spark).
• Work from home set up.

Job Type: Full-time

Pay: Php100, Php130,000.00 per month

Work Location: Remote

JOB DESCRIPTION:

• Design, implement, and manage end-to-end data solutions using Azure services such as Azure Synapse Analytics, Azure Data Factory, Azure Function, Cosmos DB and Databricks.

• Develop and maintain efficient data pipelines and workflows to process data at scale.
  • Build and maintain notebooks in Databricks for data processing and analytics.

• Collaborate with various teams to turn business needs into technical solutions.

• Design and implement solutions on Medallion Architecture, Delta lake and data Lakehouse frameworks.

• Maintain JSON files for configuration and data exchange purposes.

• Utilize and maintain Azure DevOps pipelines for continuous integration and deployment of data solutions.

• Implement and enforce best practices for data governance, security, and compliance on Azure resources and SQL Database security principles.

• Review current data solutions and identify opportunities for improvements and optimizations.

REQUIREMENTS & QUALIFICATIONS:

• Extensive experience with Azure Synapse Analytics, Azure Data Factory, Key Vault and Databricks,
  • Strong in Python and SQL for data processing and querying.

• Strong understanding of Medallion Architecture and data Lakehouse principles.

• Experience with Azure DevOps pipelines for CI/CD and version control.

• Experience in building and maintaining Function Apps using Azure Functions.

• Experience with Azure Cosmos DB for handling globally distributed, multi-model databases.

• Proficiency in maintaining JSON files.

• In-depth knowledge of security principles for Azure resources and SQL databases.

• Excellent problem-solving skills and attention to detail.

• Ability to work collaboratively in a diverse team and manage multiple priorities.

• Prior experience in a similar role within a fast-paced, dynamic environment.

• Certification in Azure Data Engineering or related disciplines would be a plus.

• Open for Project based

• Hybrid (RTO 2-3x/week)

Job Types: Fixed term, Temporary

Contract length: 12 months

Pay: Php80, Php90,000.00 per month

Work Location: Hybrid remote in Ortigas Post Office

Country: Philippines | Work Location: Bonifacio Global City

Salary: 80,000 – 90,000 PHP

We are looking for a Data Engineer to join the team of one of our client from the Philippines. This client specializes in developing and implementing systems and applications to increase operational efficiency. They create an environment by providing responsive IT services, solutions, and innovations that positively impact the lives of companies.

It's a direct placement role – not an outsourcing arrangement.

Responsibilities

• As Data Engineer you will be designing, implementing, and managing end-to-end data solutions using Azure services such as Azure Synapse Analytics, Azure Data Factory, Azure Functions, Cosmos DB, and Databricks;
• You will be developing and maintaining efficient data pipelines and workflows to ingest, cleanse, and transform data at scale;
• You will be building and maintaining Databricks notebooks for data processing, advanced analytics, and machine learning workloads;
• You will be collaborating with cross-functional teams to translate business needs into technical data-driven solutions;
• You will be designing and implementing solutions based on Medallion Architecture, Delta Lake, and Data Lakehouse frameworks;
• You will be managing and maintaining JSON configurations for data integration, configuration, and exchange across systems;
• You will be utilizing Azure DevOps pipelines for continuous integration and deployment of scalable data solutions;
• You will be applying and enforcing data governance and security practices, ensuring compliance with organizational policies and SQL Database security principles;
• You will be reviewing existing data solutions to identify opportunities for performance optimization and improvement.

Requirement

• 4+ years of experience working with Azure Synapse Analytics, Azure Data Factory, Key Vault, and Databricks;
• Work in a hybrid set up (3 days onsite in BGC, Taguig or Ortigas and 2 days WFH) – Necessary condition;
• Strong proficiency in Python and SQL for building and optimizing data pipelines and queries;
• Solid understanding of Medallion Architecture and data Lakehouse principles;
• Hands-on experience with Azure DevOps pipelines for CI/CD and version control;
• Experience building and maintaining Function Apps using Azure Functions;
• Experience with Azure Cosmos DB for managing distributed, multi-model databases;
• Proficiency in managing and maintaining JSON files for automation and integration;
• Strong knowledge of security principles for Azure resources and SQL databases;
• Excellent problem-solving abilities and attention to detail;
• Open to project-based engagement.

Nice to have

• Azure Data Engineering certification or other relevant Microsoft certifications.

We Offer

• Salary for work amounting to 80,000 – 90,000 PHP;
• Comprehensive HMO coverage for the principal employee.

Please be advised that we will only contact selected candidates

What to Know Before Applying?

We have a tight-knit team, creating some of the best work of their lives. We're always growing and changing and occasionally places do come up so we are always on the lookout for talented people to join us. If you're passionate about what you do then get in touch. We are always happy to take the time to listen and see what you can do.

Are you interested?

1

Have a short talk with our recruiter who will provide you with more details about our company and the specific project. Since the recruitment process can vary between projects, this conversation will outline the process
that applies to you.

2

This stage involves a series of bespoke recruitment activities led by our client. It's designed not only to assess how your skills and background align with the project's demands but also to ensure that the project environment is the right fit for you. This dual-focus ensures that both parties can thrive in this partnership.

3

After successfully navigating the recruitment process, you'll sign your employment contract and begin your new role. We ensure a smooth transition into your position with comprehensive onboarding support.

Why Join Directio?

Innovative Projects

Work on cutting-edge projects that challenge and inspire you.

Career Growth

Access to continuous learning and development opportunities.

Supportive Environment

Join a collaborative team that values your contributions.

Competitive Benefits

Enjoy a comprehensive benefits package that supports your well-being.

Flexible Work Arrangements

Enjoy a healthy work-life balance with options for remote work and flexible hours.

Supportive Leadership

Benefit from approachable and supportive leaders who are committed to your success and development.

Grow Beyond UR Job with URC

Universal Robina Corporation is looking for a
Data Engineer
. Responsible for building data pipelines that are used to transport data from a data source to data lake and/or data warehouse

What are the Job Responsibilities:

• Design, develop and manage data pipelines and orchestrate data integration that meets business requirements.
• Identify, design and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability.
• Work with data and analytics experts to strive for greater functionality in our data systems.
• Ensure the data is complete, has been cleansed, and that the rules have been established for outliers (eliminate, ignore, average out and so on).
• Identifying patterns, trends and correlations in data sets.
• Explore ways to enhance data quality and reliability.
• Collaborate with data analyst and architect on several projects.
• Transforming data sets, quantitative and qualitative analysis into compelling visuals.

What are the Qualifications?

• Candidate must possess at least a Bachelor's/College Degree in Computer Science/Information Technology, Mathematics or equivalent.
• At least 3 year(s) of working experience in the related field is required for this position.
• Experience with Azure cloud services is a must.
• With an in-depth understanding of
  Data bricks,
  Data Lake store and Data Warehouse.
• Experienced in using Python or PySpark
• Advanced knowledge of SQL and data visualization experience using any BI tool: Microsoft Power BI, Tableau, Qlik.

Apply with us today and join us in delighting our employees, customers, consumers, and communities with good food choices

NOTE:
Universal Robina Corporation does not collect fees throughout our recruitment process and does not collaborate with any travel agency or third party to provide accommodation or other services to job applicants. All URC recruitment processes happen in our respective offices or plants. Recruitment processes are only carried out by our Talent Acquisition teams with an official corporate email address.

Position: Azure Data Engineer

Work Mode: WFH

Employment Type: Full Time

Work Arrangement: Regular Shift

"A Data Engineer designs data products and data pipelines that are resilient to change, modular, flexible, scalable, reusable, and cost effective. Utilizes software engineering principles to deploy and maintain fully automated data transformation pipelines that combine a large variety of storage and computation technologies to handle a distribution of data types and volumes in support of data architecture design.

As a Data Engineer, you will:

· Design, develop, and maintain data pipelines and ETL processes using Microsoft Azure services (e.g., Azure Data Factory, Azure Synapse, Azure Databricks, Azure Fabric).

· Utilize Azure data storage accounts for organizing and maintaining data pipeline outputs.  (e.g., Azure Data Lake Storage Gen 2 & Azure Blob storage).

· Collaborate with data scientists, data analysts, data architects and other stakeholders to understand data requirements and deliver high-quality data solutions.

· Optimize data pipelines in the Azure environment for performance, scalability, and reliability.

· Ensure data quality and integrity through data validation techniques and frameworks.

· Develop and maintain documentation for data processes, configurations, and best practices.

· Monitor and troubleshoot data pipeline issues to ensure timely resolution.

· Stay current with industry trends and emerging technologies to ensure our data solutions remain cutting-edge.

· Manage the CI/CD process for deploying and maintaining data solutions.

Requirements:

· Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent experience) and able to demonstrate high proficiency in programming fundamentals.

· Proven experience (3+ years) as a Data Engineer or similar role dealing with data and ETL processes.

· Strong knowledge of Microsoft Azure services, including Azure Data Factory, Azure Synapse, Azure Databricks, Azure Blob Storage and Azure Data Lake Gen 2.

· Experience utilizing SQL DML to query modern RDBMS in an efficient manner (e.g., SQL Server,

· Strong understanding of Software Engineering principles and how they apply to Data Engineering (e.g., CI/CD, version control, testing).

· Experience with big data technologies (e.g., Spark).

· Strong problem-solving skills and attention to detail.

· Excellent communication and collaboration skills.

Preferred Qualifications:

· Learning agility

· Technical Leadership

· Consulting and managing business needs

· Strong experience in Python is preferred but experience in other languages such as Scala, Java, C#, etc. is accepted.

· Experience building spark applications utilizing PySpark.

· Experience with file formats such as Parquet, Delta, Avro.

· Experience efficiently querying API endpoints as a data source.

· Understanding of the Azure environment and related services such as subscriptions, resource groups, etc.

· Understanding of Git workflows in software development.

· Using Azure DevOps pipeline and repositories to deploy and maintain solutions.

· Understanding of Ansible and how to use it in Azure DevOps pipelines.

Please Share your suitable resume to

Job Overview:

We are seeking a skilled Azure Data Engineer to join our team, who will be pivotal in managing and analyzing large sets of data to drive business insights and decisions. The ideal candidate will have extensive experience working with Azure Synapse, Azure Data Factory, Databricks, Azure Function, Cosmos DB, Azure DevOps, Python, SQL, and a solid understanding of Medallion Architecture, Delta lake and data Lakehouse concepts.

Key Responsibilities:

• Design, implement, and manage end-to-end data solutions using Azure services such as Azure Synapse Analytics, Azure Data Factory, Azure Function, Cosmos DB and Databricks.
• Develop and maintain efficient data pipelines and workflows to process data at scale.
• Build and maintain notebooks in Databricks for data processing and analytics.
• Collaborate with various teams to turn business needs into technical solutions.
• Design and implement solutions on Medallion Architecture, Delta lake and data Lakehouse frameworks.
• Maintain JSON files for configuration and data exchange purposes.
• Utilize and maintain Azure DevOps pipelines for continuous integration and deployment of data solutions.
• Implement and enforce best practices for data governance, security, and compliance on Azure resources and SQL Database security principles.
• Review current data solutions and identify opportunities for improvements and optimizations.

Required Skills/Qualifications:

• Extensive experience with Azure Synapse Analytics, Azure Data Factory, Key Vault and Databricks,
• Strong in Python and SQL for data processing and querying.
• Strong understanding of Medallion Architecture and data Lakehouse principles.
• Experience with Azure DevOps pipelines for CI/CD and version control.
• Experience in building and maintaining Function Apps using Azure Functions.
• Experience with Azure Cosmos DB for handling globally distributed, multi-model databases.
• Proficiency in maintaining JSON files.
• In-depth knowledge of security principles for Azure resources and SQL databases.
• Excellent problem-solving skills and attention to detail.
• Ability to work collaboratively in a diverse team and manage multiple priorities.
• Prior experience in a similar role within a fast-paced, dynamic environment.
• Certification in Azure Data Engineering or related disciplines would be a plus.
• Open for Project based
• Hybrid

Please send your most updated resume to

JOB SUMMARY:

A Data Engineer designs data products and data pipelines that are resilient to change, modular, flexible, scalable, reusable, and cost effective. Utilizes software engineering principles to deploy and maintain fully automated data transformation pipelines that combine a large variety of storage and computation technologies to handle a distribution of data types and volumes in support of data architecture design.

JOB RESPONSIBILITIES:

• Design, develop, and maintain data pipelines and ETL processes using Microsoft Azure services (e.g., Azure Data Factory, Azure Synapse, Azure Databricks, Azure Fabric).
• Utilize Azure data storage accounts for organizing and maintaining data pipeline outputs. (e.g., Azure Data Lake Storage Gen 2 & Azure Blob storage).
• Collaborate with data scientists, data analysts, data architects and other stakeholders to understand data requirements and deliver high-quality data solutions.
• Optimize data pipelines in the Azure environment for performance, scalability, and reliability.
• Ensure data quality and integrity through data validation techniques and frameworks.
• Develop and maintain documentation for data processes, configurations, and best practices.
• Monitor and troubleshoot data pipeline issues to ensure timely resolution.
• Stay current with industry trends and emerging technologies to ensure our data solutions remain cutting-edge.
• Manage the CI/CD process for deploying and maintaining data solutions.

JOB QUALIFICATIONS:

• Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent experience) and able to demonstrate high proficiency in programming fundamentals.
• Proven experience (3+ years) as a Data Engineer or similar role dealing with data and ETL processes.
• Strong knowledge of Microsoft Azure services, including Azure Data Factory, Azure Synapse, Azure Databricks, Azure Blob Storage and Azure Data Lake Gen 2.
• Experience utilizing SQL DML to query modern RDBMS in an efficient manner (e.g., SQL Server, PostgreSQL).
• Strong understanding of Software Engineering principles and how they apply to Data Engineering (e.g., CI/CD, version control, testing).
• Experience with big data technologies (e.g., Spark).
• Strong problem-solving skills and attention to detail.
• Excellent communication and collaboration skills.