Data Engineer (Azure)
Summary
Designs and maintains Azure-based data pipelines using Databricks, PySpark, and Azure Data Factory to ingest and process banking data into scalable Medallion Architecture layers.
- Competitive Package and Benefits.
- Work for one of the leading banks in the Philippines.
About Our Client
One of the leading banks in the Philippines.
Job Description
- Design, develop, and maintain data ingestion pipelines from various source systems into the enterprise platform.
- Work heavily within the Azure ecosystem, including:
- Azure Data Factory (ADF)
- Databricks
- Azure Data Lake Storage (ADLS)
- Build and optimize data processing workflows using Python and PySpark.
- Implement and manage pipelines across the Medallion Architecture (Bronze, Silver, Gold layers).
- Write production-grade code to support scalable, reliable data engineering solutions.
- Collaborate with senior engineers and cross-functional teams on ongoing and upcoming initiatives.
The Successful Applicant
A successful Data Engineer specializing in Azure should have:
- Deep, hands-on experience in Databricks
- Proficiency in PySpark and Python
- Proven track record of building data pipelines end-to-end
Strong Experience with
- Data ingestion
- Data processing
- Data orchestration and automation
- Azure Data Lake and flat-tree structures
Additional Experience
- Knowledge of Medallion Architecture
- Experience with AWS Databricks is a plus
What's on Offer
- A competitive salary and benefits package
- A fixed morning shift
- Guaranteed 16th-month pay.
- Permanent position within a well-established organization in the financial services sector.