Snowflake Data Engineer

TEAM International; Taguig; Hybrid; PHP 3,762,000 - 7,524,000; Full time

Job summary

TEAM International is hiring a Snowflake Data Engineer to design, develop, and optimize data solutions in Snowflake and AWS. You will build end-to-end data pipelines, manage dynamic tables, and apply best practices in coding, testing, and deployment.

The role emphasizes collaboration with product owners and stakeholders, adherence to security/governance standards, and leveraging AI-assisted tools to enhance development workflows.

Qualifications

• Bachelor's or Master's degree in a related technical discipline.
• Professional experience in software/data/cloud engineering.
• Strong programming, API, testing, debugging fundamentals.
• Hands-on Python and/or Java experience.
• Strong SQL skills and data modeling/pipelines.
• Advanced Snowflake experience including Dynamic Tables and micro-partitioning.
• Hands-on AWS cloud services experience.
• Familiarity with AI-assisted development tools.
• Exposure to data security and governance practices.
• Excellent collaboration and communication skills.

Responsibilities

• Design, develop, test, deploy, and enhance software and data solutions with senior engineers.
• Build, maintain, and optimize data pipelines in Snowflake and AWS.
• Develop and manage Snowflake data solutions and performance optimizations.
• Support data ingestion, transformation, orchestration, and monitoring in Snowflake/AWS.
• Apply engineering best practices: clean code, modular design, testing, version control, documentation.
• Collaborate with product owners and stakeholders to deliver high-quality solutions.
• Leverage AI-assisted tools for coding, refactoring, and testing.
• Develop cloud-native integrations and data workflows using AWS services.
• Participate in deployments, releases, troubleshooting, and production support.
• Ensure data security, governance, and access controls.

Skills

Python

Java

SQL

Snowflake

AWS

Git

CI/CD

DevOps

Communication

Education

Bachelor's or Master's in Computer Science, Software Engineering, Data Science, AI/ML

Tools

GitHub Copilot

Claude

Cursor

Job description

TEAM International is hiring for a Snowflake Data Engineer!

Role Highlights

• You must be willing to work as a full-time independent contractor (no contract end date; you will manage your own contributions)
• You must be willing to report to a hybrid setup for at least 2-3x onsite per week in BGC
• Working schedule is from Monday to Friday, with a flexible working schedule from morning to afternoon shift, Manila time

About Us:

We're a global IT consulting company and a software development service provider that helps organizations operate at their best. With 30+ years of experience, 6+ global locations, and 1,000+ employees, TEAM combines technology expertise, valuable insights, business intelligence, and a client-centered approach to address challenges in business operations, digital transformation, risk management, compliance, business continuity, and more

To know more about what we do, you may visit our website at: https://www.teaminternational.com/en

About The Role:

We are looking for a motivated Data Engineer with a strong interest in cloud, data, software engineering, and AI-enabled delivery. The ideal candidate has solid technical fundamentals, a learning mindset, and the curiosity to grow hands-on skills in AWS, Snowflake, and modern engineering practices.

You will have the following responsibilities:

• Design, develop, test, deploy, and enhance software and data solutions, working closely with senior engineers and cross-functional teams.
• Build, maintain, and optimize data pipelines using Snowflake and AWS services, ensuring reliability, scalability, and performance.
• Develop and manage Snowflake data solutions, including Dynamic Tables, data models, schemas, transformations, and performance optimization techniques such as micro-partitioning.
• Support data ingestion, transformation, orchestration, and monitoring processes within Snowflake and AWS environments.
• Apply engineering best practices, including clean code, modular design, automated testing, version control, documentation, and maintainable implementations.
• Collaborate with product owners, business stakeholders, and technology teams to understand requirements and deliver high-quality solutions.
• Use AI-assisted engineering tools to support coding, refactoring, documentation, testing, debugging, and solution design.
• Develop and support cloud-native integrations, automation, and data workflows leveraging AWS services such as compute, storage, security, orchestration, and event-driven architectures.
• Participate in deployments, releases, troubleshooting, production support, peer code reviews, and continuous improvement activities.
• Ensure compliance with data security, governance, and access control standards when handling enterprise data assets.

You will have the following qualifications:

• Bachelor's or Master's degree in Computer Science, Software Engineering, Data Science, Artificial Intelligence / Machine Learning, or a related technical discipline.
• Professional experience in software engineering, data engineering, cloud engineering, or a related technical role.
• Strong understanding of software engineering fundamentals, including programming, APIs, testing, debugging, and maintainable code.
• Hands-on experience with Python and/or Java.
• Strong SQL skills and experience with data modeling and data pipelines.
• Advanced Snowflake experience is required, including Dynamic Tables, micro-partitioning, performance optimization, and building end-to-end data pipelines.
• Hands-on experience with AWS cloud services is required.
• Experience with Git, CI/CD, DevOps practices, and automated testing is an advantage.
• Familiarity with AI-assisted development tools such as GitHub Copilot, Claude, Cursor, or similar.
• Exposure to AWS AI services, Amazon Bedrock, RAG, agent-based solutions, or responsible AI practices is a plus.
• Understanding of data security, governance, and access controls.
• Strong problem-solving, collaboration, and communication skills.

Key Must-Haves:

• Advanced Snowflake expertise.
• Experience with Snowflake Dynamic Tables and building data pipelines in Snowflake.