Hybrid Senior Data Engineer - Scalable Cloud Data Pipelines

Lewis Personnel Management; Taguig; Hybrid; PHP 1,200,000 - 2,400,000; Full time

Job summary

Lewis Personnel Management is hiring a Senior Data Engineer to design, build, and optimize scalable data pipelines and cloud-based platforms. The role focuses on modern data engineering practices and enterprise-grade solutions to support analytics initiatives.

The ideal candidate has strong experience with ETL/ELT pipelines, data modeling, and cloud technologies such as Databricks, Snowflake, and Azure, along with a track record of delivering reliable data ecosystems.

Qualifications

• 8+ years of Data Engineering experience with large-scale data pipelines and enterprise/cloud-based data platforms.
• Proven experience designing, building, and optimizing scalable data solutions.

Responsibilities

• Design, develop, and maintain scalable ETL/ELT pipelines and data workflows.
• Build and optimize enterprise-grade data platforms and cloud-native data solutions.
• Collaborate with cross-functional teams to support data integration, transformation, and analytics initiatives.
• Ensure data quality, reliability, and performance across modern cloud environments.

Skills

Python

SQL

Modern Data Platforms

Tools

Databricks

Snowflake

Azure Data Factory

Job description

Lewis Personnel Management is hiring a Senior Data Engineer to design, build, and optimize scalable data pipelines and cloud-based platforms. The role focuses on modern data engineering practices and enterprise-grade solutions to support analytics initiatives.

The ideal candidate has strong experience with ETL/ELT pipelines, data modeling, and cloud technologies such as Databricks, Snowflake, and Azure, along with a track record of delivering reliable data ecosystems.