Cloud Engineer (Data/AI)

eCloudvalley Technology (Philippines), Inc; Taguig; On-site; PHP 1,200,000 - 1,800,000; Full time

Job summary

eCloudvalley Technology (Philippines), Inc. seeks a Cloud Engineer (Data/AI) to design, build and maintain scalable data pipelines powering analytics and AI initiatives.

You will own the full lifecycle from infrastructure and orchestration to transformation and delivery across AWS-native services (Glue, Lambda, Redshift) and Snowflake to build enterprise-grade data platforms. You will contribute to the platform's technical strategy and mentor engineers on the team, collaborating with data

Qualifications

• 4+ years building data pipelines in production (Python, SQL, at least one orchestration tool)
• Strong AWS fundamentals (EC2, S3, IAM, compute services); hands-on with Glue and Lambda
• Snowflake architecture, performance optimization, and SQL development
• Experience with dbt or similar transformation frameworks
• Hands-on with Terraform.
• Distributed processing with PySpark or Spark SQL

Responsibilities

• Design and implement data pipelines using Airflow and Kafka, ensuring reliability, idempotency, and failure handling
• Build and optimize data transformations in Snowflake and dbt; design schema architecture and data models
• Develop AWS Glue jobs and Lambda functions for ETL/ELT workflows; integrate with Redshift and Snowflake
• Write production Python and SQL; manage infrastructure-as-code (Terraform) on AWS
• Optimize for cost and performance; conduct code reviews and establish best practices
• Mentor junior engineers and partner with data analysts, BI engineers, and ML teams to define data requirements and SLAs

Skills

Python

SQL

Airflow

PySpark

Spark SQL

Tools

Airflow

Terraform

dbt

Snowflake

AWS Glue

AWS Lambda

Job description

We are looking for Cloud Engineer (Data/AI) to design, build, and maintain scalable data pipelines that power our analytics and AI initiatives. You'll own the full lifecycle - from infrastructure and orchestration to transformation and delivery - working across AWS-native services (Glue, Lambda, Redshift) and Snowflake to build enterprise-grade data platforms. You'll contribute to our platform's technical strategy and mentor engineers on the team.

Key Responsibilities:

• Design and implement data pipelines using Airflow and Kafka, ensuring reliability, idempotency, and failure handling

• Build and optimize data transformations in Snowflake and dbt; design schema architecture and data models

• Develop AWS Glue jobs and Lambda functions for ETL/ELT workflows; integrate with Redshift and Snowflake

• Write production Python and SQL; manage infrastructure-as-code (Terraform) on AWS

• Optimize for cost and performance; conduct code reviews and establish best practices

• Mentor junior engineers and partner with data analysts, BI engineers, and ML teams to define data requirements and SLAs

Required Qualifications:

• 4+ years building data pipelines in production (Python, SQL, at least one orchestration tool)

• Strong AWS fundamentals (EC2, S3, IAM, compute services); hands-on with Glue and Lambda

• Snowflake architecture, performance optimization, and SQL development

• Experience with dbt or similar transformation frameworks

• Hands-on with Terraform.

• Distributed processing with PySpark or Spark SQL

Nice to Have:

• Event streaming platforms (Kafka, Kinesis)

• Amazon Redshift design and optimization; Quick dashboard development

• Data quality frameworks, testing, and monitoring

• CI/CD and GitHub Actions;

• Coaching or mentoring experience; knowledge of data governance and security