Databricks Engineer - Hybrid BGC - Up to 185K
At WeSource · Taguig, NCR, Philippines
- Engineering
- Full-time
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Where you’ll work
Hybrid, based in Taguig
“Taguig, NCR, Philippines”
From the location.
“Location: Taguig/Hybrid”
From the job description.
“Databricks Engineer - Hybrid BGC - Up to 185K”
From the job title.
Hybrid means some days in the office. The listing says how many, and where.
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- First seen by us
- 15 October 2026
- Last checked
- 21 hours ago
Job description
From WeSource’s job post, as they wrote it.
We have an urgent opening for
Databricks Engineers
Location: Taguig/Hybrid
Salary: Up to 185K
Years Required: 5
**The Role**
- The Azure Databricks Developer, will be responsible for designing, developing, and maintaining data processing workflows and analytics solutions using Azure Databricks.
- Use business requirements to drive the design of data solutions/applications and technical architecture. Create technical, functional, and operational documentation for data pipelines and applications.
Read the full description
- Develop and maintain ETL (Extract, Transform, Load) pipelines using Databricks to process and transform large datasets.
- Collaborate with data engineers and data scientists to design and implement scalable and efficient data processing workflows.
- Build and optimize Apache Spark jobs and clusters on the Databricks platform.
- Develop and maintain data ingestion processes to acquire data from various sources and systems.
**The Requirements**
- B.S. in Computer Science/Engineering or relevant field
- 8+ years of experience in the IT industry
- 3+ years of hands-on experience in data engineering/ETL using Databricks Notebook programming on Azure or any cloud infrastructure and functions
- Solid Databricks development experience with significant Python, PySpark, Spark SQL, Pandas, NumPy in Azure environment.
- Hands on experience of building data pipelines using Databricks and Apache Spark.
**Experience:**
- Databricks: 3 years (Required)
- Azure: 3 years (Required)
- Cloud development: 5 years (Required)
- Python: 3 years (Required)
if you are interested, please email your detailed and updated CV at [email removed] and include the below details
Subject: Monster_Databricks Engineer_Name
Availability to join:
Location:
Current Salary:
Expected Salary:
Willing to work in BGC/Hybrid?
Years of Databricks Engineering Role:
Years in the IT Industry:
Years in Data Engineering:
Years of using Azure:
Years in the below:
Python:
PySpark:
Spark SQL:
Pandas:
NumPy:
Azure Synapse:
Databricks Lakehouse Architecture:
Azure Data Factory (ADF):
PowerBI, Predictive Analytics:
AI/ML:
Medallion architecture:
Years of Cloud Development:
Certifications
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