Data Engineer [Snowflake] (AU, Technology, Remote)

ConnectOS; Mandaluyong; Remote; PHP 1,800,000 - 2,400,000; Full time

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

Schedule: Monday to Friday (AU Timezone)

About the Role

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 across the organization. This role focuses on modern data stack technologies, including Snowflake, dbt, and ETL tools, and requires strong ownership in building and maintaining end-to-end data pipelines and warehouse solutions.

What will you do?

Data Pipeline Engineering

• Design, build, and maintain scalable ETL/ELT pipelines using modern data tools
• Develop robust and efficient data transformations using Python and SQL
• Integrate and manage data ingestion using tools such as Fivetran or similar
• Implement data validation, testing, and quality frameworks
• Monitor, troubleshoot, and optimize pipeline performance

Data Warehousing & Modeling

• Design and maintain enterprise data warehouse solutions (Snowflake)
• Build and manage dbt models (staging, intermediate, marts)
• Develop scalable data models and schemas aligned with business requirements
• Optimize query performance and data access patterns
• Maintain data documentation, lineage, and governance practices

Data Security & Governance

• Implement and manage Role-Based Access Control (RBAC)
• Ensure compliance with data security and governance standards
• Maintain secure data access and handling practices

Cloud & Platform Engineering

• Build and manage scalable data solutions on cloud platforms (AWS preferred)
• Utilize services such as:
  • AWS S3, RDS
  • AWS Lambda
  • Step Functions
• Contribute to infrastructure design for reliable data systems

DevOps & Automation

• Implement CI/CD pipelines for data workflows
• Leverage Infrastructure as Code (IaC) where applicable
• Automate deployment, monitoring, and operational processes

What are we looking for?

Must-Have

• 5-6+ years of hands-on experience as a Data Engineer
• Proven track record in designing and maintaining data pipelines and warehouses
• Strong expertise in:
  • Snowflake (advanced SQL, data modeling, performance tuning)
  • dbt (data modeling, testing, transformations)
  • ETL/ELT tools (e.g., Fivetran or similar)
• Proficiency in Python and SQL
• Experience implementing data quality frameworks and validation checks
• Strong understanding of data security and RBAC
• Ability to work independently and deliver high-quality solutions

Nice to Have

• Experience with:
  • AliCloud (MaxCompute)
  • Debezium or real-time data ingestion tools
• Exposure to analytics tools such as:
  • QuickSight, Datawind, or similar platforms
• Experience with MySQL / MariaDB or other relational databases
• Hands‑on experience in AWS cloud services
• Knowledge of real‑time or streaming data architectures

Soft Skills

• Strong problem‑solving and analytical thinking
• Excellent communication and collaboration skills
• Ability to work in a fast‑paced, cross‑functional environment
• Self‑driven with strong ownership mindset
• Fluent/Proficient in English language
• Mandarin is a plus

Join the awesome team and enjoy these benefits & perks:

• Remote Work Arrangement
• Medical, Dental Coverage and Life insurance from day 1 of employment
• Paid Vacation and Sick Leave (with Quarterly Sick Leave Conversion)
• Competitive salary package and annual appraisal
• Financial Assistance Program
• Mandatory Government Benefits and 13th Month Pay
• Complimentary Sleeping Quarters, Coffee at no cost
• Complimentary Office Fitness and Wellness Facilities at no cost
• Regular Company Events, Work Life Balance, and Career growth opportunities
• Accessible location at the heart of Metro Manila --- the Mega Tower, EDSA

JOIN CONNECTOS NOW!

ConnectOS is certified as a Great Place to Work and is a top-rated Philippines employer of choice.

#ConnectOSCareers #JoinConnectOS #ConnectOSTech

Equal Employment Statement

Employment decisions at ConnectOS will be conducted without consideration of factors such as age', race, color, religion, gender, disability status, sexual orientation, gender identity or expression, genetic information, and marital status. ConnectOS ensures the full confidentiality of the data it processes.