Remote Data Engineer - Snowflake, DBT & ETL Pipelines

ConnectOS

Mandaluyong

Remote

PHP 1,800,000 - 2,400,000

Full time

3 days ago
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Benefits offered by this job

Remote Work Arrangement
Medical, Dental Coverage and Life ins.
Paid Vacation and Sick Leave
Competitive salary package and annual
Financial Assistance Program
13th Month Pay
Complimentary Sleeping Quarters, Coffe
Complimentary Office Fitness and Well.
Regular Company Events, Work Life Ball
Metro Manila location accessibility

Job summary

ConnectOS is seeking a highly capable Data Engineer to design, build, and optimize scalable data infrastructure that supports real-time insights and data-driven decision-making. The role emphasizes modern data stack technologies such as Snowflake, dbt, Python, and SQL to deliver end-to-end data pipelines and warehouse solutions.

You will own data pipeline engineering, warehousing modeling, security governance, and cloud platform work on AWS, with strong focus on reliability, performance, and

Qualifications

  • 5-6+ years of hands-on experience as a Data Engineer.
  • Experience designing and maintaining data pipelines and warehouses.
  • Expertise in Snowflake, dbt, and ETL/ELT tools.
  • Proficiency in Python and SQL.
  • Experience with data quality frameworks and RBAC.
  • Ability to work independently and deliver high-quality solutions.

Responsibilities

  • Design, build, and maintain scalable ETL/ELT pipelines using modern data tools.
  • Develop robust data transformations using Python and SQL.
  • Integrate and manage data ingestion with Fivetran or similar.
  • Implement data validation, testing, and quality frameworks.
  • Monitor, troubleshoot, and optimize pipeline performance.
  • Design and maintain enterprise Snowflake data warehouses.
  • Build and manage dbt models (staging, intermediate, marts).
  • Develop scalable data models and schemas.
  • Optimize query performance and data access patterns.
  • Maintain data documentation, lineage, and governance.
  • Implement and manage RBAC and data security controls.
  • Build scalable data solutions on AWS, including S3, RDS, Lambda, Step Functions.
  • Implement CI/CD for data workflows and IaC.

Skills

5-6+ years
Data pipelines
Snowflake
SQL
dbt
ETL/ELT tools
Python
Data quality
RBAC

Tools

Fivetran
AWS S3
AWS RDS
AWS Lambda
Step Functions

Job description

ConnectOS is seeking a highly capable Data Engineer to design, build, and optimize scalable data infrastructure that supports real-time insights and data-driven decision-making. The role emphasizes modern data stack technologies such as Snowflake, dbt, Python, and SQL to deliver end-to-end data pipelines and warehouse solutions.

You will own data pipeline engineering, warehousing modeling, security governance, and cloud platform work on AWS, with strong focus on reliability, performance, and

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