GetmyCourse
Data Engineer
- Compensation
- Not disclosed
- Location
- Not listed
- Work setup
- Remote
- Seniority
- Not specified
- Employment
- Full time
- Experience
- 3+ years
- Category
- Data engineering
- Posted
Skills
Must have
- Bachelor’s degree in computer science, Engineering, Mathematics, or a related field (Experience > Education)
- Minimum of 3 years of experience in a data engineering role with a strong focus on Microsoft Azure data services, particularly Azure Synapse Analytics and Azure Data Factory.
- Proven expertise in SQL, Python, and other scripting languages.
- Experience with data modeling, ETL processes, and data warehousing principles.
- Familiarity with Azure Databricks, Azure Data Lake Storage, and other components of the Azure data ecosystem is a plus.
- Strong analytical and problem-solving skills, with the ability to work independently and as part of a team.
- Excellent communication skills, with the ability to convey complex technical information to non-technical stakeholders.
- PowerBI experience is also advantageous.
Full description
This is a remote position.
Job title: Data Engineer
Schedule: Full time; 40 hours per week; Monday to Friday
Rate: 60,000 - 100,000 Philippine Pesos per month
We are seeking a highly skilled and experienced Data Engineer to join our Data Engineering team. The ideal candidate will have a strong foundation in data processing and analytics, with specific expertise in Microsoft Azure's Synapse Analytics and Azure Data Factory. You will play a crucial role in developing and optimizing our data pipeline architecture, as well as managing and improving data flow and collection for cross-functional teams.
Responsibilities:
- Design, build, and maintain scalable and reliable data pipelines using Azure Synapse Analytics and Azure Data Factory.
- Work closely with stakeholders to understand data requirements and implement systems for large-scale data analysis and reporting.
- Ensure data quality and consistency across data pipelines and implement secure and compliant data handling procedures.
- Collaborate with data scientists and analysts to support data modelling, analysis, and machine learning projects.
- Monitor and optimize performance of data pipelines and databases.
Requirements
- Bachelor’s degree in computer science, Engineering, Mathematics, or a related field (Experience > Education)
- Minimum of 3 years of experience in a data engineering role with a strong focus on Microsoft Azure data services, particularly Azure Synapse Analytics and Azure Data Factory.
- Proven expertise in SQL, Python, and other scripting languages.
- Experience with data modeling, ETL processes, and data warehousing principles.
- Familiarity with Azure Databricks, Azure Data Lake Storage, and other components of the Azure data ecosystem is a plus.
- Strong analytical and problem-solving skills, with the ability to work independently and as part of a team.
- Excellent communication skills, with the ability to convey complex technical information to non-technical stakeholders.
- PowerBI experience is also advantageous.
Benefits
- Permanent work from home
- AU morning shift
- Fun and engaging culture