Azure Data Platform Engineer | ETL, Databricks & Analytics

AIA (Web); Makati; On-site; PHP 600,000 - 900,000; Full time

Job summary

MediCard Phils., Inc. is seeking a data platform engineer to design, build and maintain Azure-based data platforms. The role involves end-to-end data solutions using Azure Databricks, ADF and Data Lake, with a focus on scalable, secure pipelines and data modeling.

You will collaborate with data analysts, BI developers and business stakeholders to translate requirements into robust data architectures and pipelines, ensuring data quality, governance and optimized performance.

Qualifications

• Capture data from various sources into the system for data analytics.
• Apply data extraction, transformation and loading techniques to connect large data sets.
• Create data collection frameworks for structured and unstructured data.
• Develop and maintain infrastructure systems such as data warehouses, data lakes and APIs.
• Define data standards, develop data catalogues and ensure data quality.

Responsibilities

• Design, build, and maintain scalable Azure-based data platforms.
• Build end-to-end data solutions using Azure Databricks, ADF, and Data Lake.
• Develop and orchestrate ETL/ELT pipelines across diverse sources.
• Model data for analytics and downstream consumption.
• Implement data validation and monitoring within pipelines.
• Apply security, governance and compliance best practices.
• Collaborate with analysts, data scientists and BI developers.
• Document architectures, pipelines and data models.
• Stay current with Azure and data engineering best practices.
• Support modernization and cloud adoption initiatives.

Skills

ETL/ELT pipelines

Azure Databricks

Azure Data Factory

Delta Lake

PySpark

Spark SQL

Data Modeling

Azure Data Lake

DevOps CI/CD

Data quality

Tools

Azure Databricks

Azure Data Factory

Delta Lake

Azure DevOps

Databricks

Job description

MediCard Phils., Inc. is seeking a data platform engineer to design, build and maintain Azure-based data platforms. The role involves end-to-end data solutions using Azure Databricks, ADF and Data Lake, with a focus on scalable, secure pipelines and data modeling.

You will collaborate with data analysts, BI developers and business stakeholders to translate requirements into robust data architectures and pipelines, ensuring data quality, governance and optimized performance.