About the role

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

Originally posted on Himalayas

Interview prep

Walk in with sharper answers.

Use this as a quick practice sheet before you speak with the employer.

Mid

Technology & IT Data Analysis MySQL Python Remote Collaboration Sales Mid level

Likely questions

Tell us about work you have done that is close to the Data Engineer role.
How would you approach your first 30 days at Get My Course?
Which of Data Analysis, MySQL and Python have you used recently, and what did it help you achieve?
Describe a time you solved a problem without waiting to be told exactly what to do.
How do you handle busy days, changing priorities, or pressure at work?

Prepare before the call

A recent example that proves your experience with Data Analysis, MySQL and Python.
One short story with a problem, your action, and the result.
Two examples that show the strengths listed on your CV.
A clear reason why this role and company interest you.
Your availability, preferred work style, and salary expectations.

Ask them

What would success look like in the first 90 days?
What are the main problems this hire should help solve?
How does the team give feedback and measure good work?
What does a normal working week look like for this role?

Practice line

I am interested in the Data Engineer role because I can bring practical experience in Data Analysis, MySQL and Python, learn the team quickly, and contribute to the outcomes Get My Course needs from this hire.

Data Engineer

About the role

Walk in with sharper answers.

Likely questions

Prepare before the call

Ask them

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