Senior Data Engineer: Cloud Data Pipelines & Azure/Snowflake

Lewis Personnel Management; Taguig; Hybrid; PHP 1,200,000 - 1,800,000; Full time

Job summary

LGC-MCV is seeking an experienced Senior Data Engineer to design, develop, and optimize scalable data solutions that support cloud-based platforms and enterprise data initiatives.

You will build ETL/ELT pipelines, enable large-scale data migrations to modern cloud environments, model data and data marts, monitor pipeline performance, and collaborate with cross-functional teams to deliver high-quality data solutions.

Qualifications

• 8+ years of Data Engineering experience.
• Strong hands-on experience with Python and SQL.
• Experience with Databricks and Snowflake.
• Experience with Microsoft Azure services (Azure Data Factory, Azure Synapse, Azure Storage, etc.).
• Strong analytical, problem-solving, and communication skills.

Responsibilities

• Build and maintain scalable ETL/ELT pipelines and automated data workflows.
• Support large-scale data migration projects to modern cloud environments.
• Develop data models, data marts, and data integrations from multiple sources.
• Monitor and optimize data pipeline performance, reliability, and security.
• Collaborate with cross-functional teams to deliver high-quality data solutions.

Skills

Python

SQL

Databricks

Snowflake

Azure

Job description

LGC-MCV is seeking an experienced Senior Data Engineer to design, develop, and optimize scalable data solutions that support cloud-based platforms and enterprise data initiatives.

You will build ETL/ELT pipelines, enable large-scale data migrations to modern cloud environments, model data and data marts, monitor pipeline performance, and collaborate with cross-functional teams to deliver high-quality data solutions.