Data Engineer III: Databricks & Azure Data Pipelines

Hammerjack Pty Ltd; Philippines; On-site; PHP 600,000 - 1,200,000; Full time

Job summary

Hammerjack Pty Ltd is seeking a data engineering professional to design, build, and maintain data storage solutions and pipelines. The role involves data transformation, cleansing, and automation, with testing and platform stability responsibilities.

The ideal candidate has hands-on experience with Databricks, Azure, SQL, and Python (PySpark), plus knowledge of data warehouse concepts and query optimization. Power BI familiarity is a plus.

Qualifications

• Experience on Data projects is a MUST (at least 1 end to end project).
• Experience in using Databricks and Azure (certifications preferred).
• Experience in SQL, Python (Pyspark).
• Knowledge in Data Warehouse and Data Mart concepts and query optimization techniques.
• Nice-to-have familiarity with Power BI.

Responsibilities

• Designs and builds data storage solutions including database objects and data structures, data ingestion pipelines.
• Develops data transformation, cleansing, and preparation processes.
• Perform job optimization/automation via code enhancement, configuration, or implementation of new tools/technology.
• Perform unit testing and system integration testing.
• Maintain and monitor platform stability and performance of EDP; execute updates and patches.
• Ensure compliance with governance standards, security policies, and SDLC processes.
• Collaborate with cross-functional teams to identify data needs and opportunities for improvement.
• Develop and maintain documentation related to data engineering and analytics processes.
• Perform Proof of Concept on new integration and analytic patterns and solutions.

Skills

Databricks

Azure

SQL

Python (PySpark)

Data Warehouse

Data Mart

Query optimization

Power BI

Job description

Hammerjack Pty Ltd is seeking a data engineering professional to design, build, and maintain data storage solutions and pipelines. The role involves data transformation, cleansing, and automation, with testing and platform stability responsibilities.

The ideal candidate has hands-on experience with Databricks, Azure, SQL, and Python (PySpark), plus knowledge of data warehouse concepts and query optimization. Power BI familiarity is a plus.