Azure Data Engineer
dysrupit· Hummingbird
About this role
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 (5+ 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.
Frequently Asked Questions
Is the salary disclosed for the Azure Data Engineer position at dysrupit?
The salary for this Azure Data Engineer role at dysrupit is not publicly listed. Click "Apply Now" to learn more about the compensation package on their official careers page.
Where is the Azure Data Engineer position at dysrupit located?
This Azure Data Engineer role at dysrupit is based in Hybrid, Makati City, Makati, Philippines. The position is listed as on-site or hybrid. Check the full job description or apply directly to confirm the work arrangement.
Is the Azure Data Engineer role at dysrupit full-time or part-time?
This is listed as a Full Time position. It is posted as a Azure Data Engineer role in the Hummingbird department at dysrupit.
Which team or department does the Azure Data Engineer at dysrupit belong to?
This Azure Data Engineer position is part of the Hummingbird department at dysrupit. See the full job description for more information about the team structure and responsibilities.
How do I apply for the Azure Data Engineer position at dysrupit?
Click the "Apply Now" button on this page. You will be redirected to dysrupit's official application portal hosted on bamboohr where you can submit your application directly.
When was the Azure Data Engineer job at dysrupit posted?
This Azure Data Engineer position at dysrupit was posted on Jun 20, 2025. Apply as soon as possible — early applications are often reviewed first.
Azure Data Engineer
dysrupit
You'll be redirected to dysrupit's official application page on bamboohr.