Data Engineer

5 days ago

Manila, National Capital Region, Philippines On Demand Innovation Full time

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About the Role:

We are seeking a skilled Data Engineer to design, build, and maintain our data pipelines and AWS-based infrastructure. This role requires collaboration with US-based clients, so availability for overlapping US hours is necessary. You will work closely with analytics, product, and engineering teams to ensure reliable, scalable, and secure data processing workflows.

Key Responsibilities:

  • Develop, optimize, and maintain ETL pipelines for large-scale data processing.
  • Build and manage data lakes, ensuring proper governance and access control.
  • Work with AWS services including Glue, Lake Formation, Athena, Step Functions, S3, Lambda, EC2, SQS, and EventBridge.
  • Monitor data workflows, troubleshoot issues, and optimize performance.
  • Collaborate with teams and clients on data requirements, architecture, and delivery.
  • Optional: Manage VPC/VPN configurations and infrastructure as code using Terraform, CDK, or similar tools.

Required Qualifications:

  • Strong understanding of data engineering concepts (ETL, data pipelines, workflow orchestration).
  • Minimum 3-4 years of professional data engineering experience with proven expertise in ETL, data pipelines, and workflow orchestration.
  • Hands-on experience with AWS services: Glue, Lake Formation, Athena, Step Functions, S3, Lambda, EC2, SQS, EventBridge.
  • Minimum 3-4 years of hands-on experience with AWS services including Glue, Lake Formation, Athena, Step Functions, S3, Lambda, EC2, SQS, and EventBridge.
  • Experience in SQL and Python or similar programming languages for data manipulation.
  • Ability to troubleshoot and optimize data pipelines for performance and scalability.
  • Comfortable with client-facing communication and working across US time zones.

Optional Skills (Nice-to-Have):

  • Experience with VPC/VPN setups.
  • Infrastructure as code experience (Terraform, CDK, CloudFormation).
  • Familiarity with cloud security and data governance best practices.

Why Join Us:

  • Work remotely with a dynamic, growing team.
  • Opportunity to design and optimize cutting-edge data infrastructure.
  • Collaborate across engineering, product, analytics teams, and US-based clients on impactful projects.

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