Cloud Raptor is hiring a Data Engineer with 4+ years of experience to work on a modern healthcare data platform. This role is based in Manila, Philippines with a work from home mode option, offering flexibility while contributing to impactful cloud and data solutions.

Role Highlights:
Build and maintain pipelines using Azure Databricks, PySpark, Python, SQL
Transform data across Bronze, Silver, Gold layers
Implement incremental processing, validation, SCD patterns
Develop ADF pipelines, Databricks Workflows
Work with Delta Lake, ADLS Gen2
Ensure clean, reusable code with unit testing & reconciliation
Collaborate with Solution Architect, Senior Data Engineer, Business Analyst
Support deployments with Git & Azure DevOps

Required Qualifications:
4+ years of Data Engineering experience




Strong handson with Databricks, PySpark, Python, SQL
ETL/ELT pipeline development experience
Knowledge of Apache Spark, Delta Lake, Medallion Architecture
Familiarity with ADF, ADLS Gen2, Git, CI/CD
Advantage: Unity Catalog, Power BI, Healthcare/Insurance data

Personal Attributes: Handson, eager to learn, accountable, receptive to feedback, clear communicator, solid problemsolver, and collaborative in multicultural teams.

Why Join Us: At Cloud Raptor, we offer competitive compensation, flexible work from home mode, inclusive culture, continuous learning, and career growth opportunities.

📌 Data Engineer Azure Databricks Remote Bengaluru
🏢 Cloud Raptor
📍 Bengaluru