Senior Data Engineer: Cloud Pipelines & DW Excellence

Qmulus Solutions; Philippines; On-site; PHP 900,000 - 1,500,000; Full time

Job summary

Qmulus Solutions is seeking a senior data engineer to design and maintain scalable data pipelines on AWS, Snowflake, and Databricks. You will optimize data storage, build production ETL/ELT processes, and implement robust data quality controls.

You will collaborate with BI and analytics teams to deliver trusted data for enterprise reporting and decision-making, while leveraging dbt for data modeling and modern data warehousing practices.

Qualifications

• 6+ years of professional experience in data engineering or analytics roles.
• Hands-on with AWS, Snowflake, and Databricks for enterprise data.
• Advanced SQL proficiency for complex transformations and data modeling.
• Strong Python skills for data engineering and automation.
• Experience designing production ETL/ELT pipelines.
• Experience with dbt and modern data modeling.
• Understanding of cloud data architecture and data warehousing.
• Experience implementing data quality and monitoring practices.
• Ability to work independently and collaborate with stakeholders.

Responsibilities

• Design, develop, and maintain scalable data pipelines across AWS, Snowflake, and Databricks.
• Manage and optimize enterprise data storage, processing, and transformations for performance and cost.
• Develop strong SQL and Python-based transformations to support analytics and reporting.
• Design data models with dbt to deliver reliable, reusable data products.
• Build data ingestion and integration from CRM, ERP, and cloud apps.
• Implement automated data quality checks, monitoring, and orchestration.
• Collaborate with analytics and BI teams to support enterprise reporting.

Skills

SQL

Python

ETL/ELT pipelines

Data modeling

Data governance

Problem solving

Tools

AWS

Snowflake

Databricks

dbt

Airflow

Tableau

Job description

Qmulus Solutions is seeking a senior data engineer to design and maintain scalable data pipelines on AWS, Snowflake, and Databricks. You will optimize data storage, build production ETL/ELT processes, and implement robust data quality controls.

You will collaborate with BI and analytics teams to deliver trusted data for enterprise reporting and decision-making, while leveraging dbt for data modeling and modern data warehousing practices.