Data Engineer | WFH
- Compensation
- Not disclosed
- Location
- Philippines
- Work setup
- Remote
- Seniority
- Not specified
- Employment
- Not specified
- Experience
- Not specified
- Category
- Data engineering
- Posted
Skills
Must have
- Experience with Microsoft Azure Data Platform and Microsoft Fabric.
- Strong expertise in ETL/ELT pipeline design and development.
- Proficiency in Python, SQL, Spark, and data processing.
- Experience with Lakehouse and Medallion architecture frameworks.
- Strong Power BI data modeling and dataset design skills.
- Experience managing cloud platform security, access, and costs.
- Knowledge of APIs, data ingestion, and enterprise integrations.
- Experience with CI/CD pipelines and Infrastructure-as-Code.
- Knowledge of data governance and metadata-driven frameworks.
- Exposure to AI, machine learning, or advanced analytics environments.
Full description
Job Description
We are currently on the lookout for a new Data Engineer to join our team at Cloudstaff, the #1 Workplace Everywhere!
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Manage and optimize Microsoft Azure and Fabric data platforms.
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Build scalable ETL/ELT pipelines using Microsoft Fabric and Python.
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Develop lakehouse solutions using Bronze, Silver, and Gold layers.
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Create Spark notebooks for automated data transformation workflows.
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Integrate APIs, ERP systems, and enterprise data sources.
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Enable Power BI reporting through curated datasets and models.
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Drive data governance, platform performance, and AI readiness initiatives.
Qualifications and Requirements
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Experience with Microsoft Azure Data Platform and Microsoft Fabric.
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Strong expertise in ETL/ELT pipeline design and development.
-
Proficiency in Python, SQL, Spark, and data processing.
-
Experience with Lakehouse and Medallion architecture frameworks.
-
Strong Power BI data modeling and dataset design skills.
- Experience managing cloud platform security, access, and costs.
-
Knowledge of APIs, data ingestion, and enterprise integrations.
-
Experience with CI/CD pipelines and Infrastructure-as-Code.
-
Knowledge of data governance and metadata-driven frameworks.
-
Exposure to AI, machine learning, or advanced analytics environments.
Perks and Benefits
- Comprehensive health and life insurance on your 16th day of employment, covering 1 free dependent on the 16th day of employment
- Up to 24 leave credits per year
- Flexible leave credits which may be used for vacation, emergency and sick leaves
- Quarterly perks boxes for WFH staff, offering groceries and snacks to keep you fueled
- Superb and exciting Mid-Year Parties – with items to give away and cash prizes!
- Endless opportunities for career advancement
- Annual Performance Review with Salary Increase
- We set you up for success with a company-provided PC/Laptop and fiber internet connection
- Tech-on-wheels Support