Data Engineer: Build Scalable ETL Pipelines & Data Lakes

Information Professionals, Inc.; Mandaluyong; On-site; PHP 800,000 - 1,600,000; Full time

Job summary

Information Professionals, Inc. seeks a data engineer to design and optimize data pipelines and architectures in a dynamic cloud environment. You will implement validation and monitoring to ensure data quality and reliability across multiple data platforms.

You will collaborate with cross-functional teams to keep datasets clean, efficient, and scalable while tuning performance and enabling faster data processing for analytics and reporting tasks.

Qualifications

• Build and maintain robust ETL/ELT pipelines.
• Design scalable data warehouses, lakes, and lakehouses.
• Implement automated data quality validation, cleansing, and monitoring systems.
• Optimize slow-running queries and data processing jobs.
• Collaborate with technical teams to maintain clean datasets.

Responsibilities

• Build and maintain robust ETL/ELT pipelines.
• Design scalable data warehouses, lakes, and lakehouses.
• Implement automated data quality validation, cleansing, and monitoring systems.
• Optimize slow-running queries and data processing jobs.
• Collaborate with technical teams to maintain clean datasets.

Skills

ETL/ELT pipelines

Data architecture

Data quality monitoring

Performance tuning

Collaborating with technical teams

Cloud data modeling

Tools

Terraform

CloudFormation

Dagster

CI/CD Pipelines

Git

Prefect

Apache Airflow

Spark

Dataproc

BigQuery

Redshift

Azure Synapse

EMR

Python

SQL

Job description

Information Professionals, Inc. seeks a data engineer to design and optimize data pipelines and architectures in a dynamic cloud environment. You will implement validation and monitoring to ensure data quality and reliability across multiple data platforms.

You will collaborate with cross-functional teams to keep datasets clean, efficient, and scalable while tuning performance and enabling faster data processing for analytics and reporting tasks.