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Open nowFirst seen 38 hours ago

AWS Data Engineer

PM Consulting1,469 open roles

Where
Metro Manila, Metro Manila, Philippines
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Your applicationOpen nowAWS Data EngineerPM Consulting · Metro Manila, Metro Manila, Philippines

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on PM Consulting's own form.

The reply lands in your private mailbox

3×more interviews than doing it yourself with ChatGPT.

The clock on this job

Early applications get read.

11.9% of postings close within 7 days. Measured by our own scanner across the market. PM Consulting postings stay open a median of 1 days.

Share of postings closed within
  1. 2.1%1 day
  2. 4.4%3 days
  3. 11.9%7 days
  4. 18.6%14 days
  5. 35.6%30 days
  6. 45.1%60 days
This job: first seen 38 hours ago

PM Consulting median: 1 days open

The posting

Key Responsibilities

Data Platform Design & Delivery

  • Design and develop modern cloud-based data platforms leveraging AWS services.
  • Build and maintain data ingestion, transformation, and analytics pipelines.
  • Support batch processing, streaming, and near real-time data integration requirements.
  • Enable scalable analytics, business intelligence, and downstream data consumption solutions.

Architecture & Platform Governance (Architect-Level Focus)

  • Define and maintain enterprise-level data platform architecture standards on AWS.
  • Design scalable data lake, lakehouse, and data warehouse environments.
  • Establish standards for data ingestion, modeling, governance, and access management.
  • Ensure solutions align with security, networking, identity management, and cost optimization best practices.
  • Provide technical leadership and architectural oversight across delivery teams.

Data Engineering & Analytics

  • Develop and optimize ETL/ELT pipelines, data models, and reporting datasets.
  • Implement data quality, metadata management, and data lineage practices.
  • Support advanced analytics and AI/ML workloads where applicable.

Operations, Security & Optimization

  • Implement monitoring, performance tuning, and cost management controls.
  • Apply governance and security standards aligned with enterprise policies.
  • Support CI/CD processes, environment management, and platform lifecycle activities.
  • Maintain technical documentation, operational procedures, and platform standards.

Stakeholder Collaboration

  • Work closely with business stakeholders, analysts, engineers, and data teams.
  • Provide guidance on AWS data services, architecture decisions, and implementation trade-offs.
  • Support mentoring and knowledge sharing within the team, particularly at senior levels.

Qualifications & Experience

Technical Skills

  • Strong experience with AWS data and analytics technologies.
  • Hands-on expertise with data lakes, data warehouses, and lakehouse architectures.
  • Strong SQL and data modeling capabilities.
  • Experience with both batch and streaming data processing.
  • Understanding of cloud security, IAM, governance, and cloud cost optimization practices

Experience Requirements AWS Architect 10+ years of experience in data and analytics. Extensive experience designing large-scale AWS data platforms. Strong background in cloud architecture, data strategy, and enterprise solution design.

AWS Consultant 6+ years of experience in data and analytics delivery. Proven experience implementing modern data platforms on AWS. Strong stakeholder engagement and solution delivery experience.

AWS Developer 4+ years of experience in data and analytics. Hands-on experience developing solutions using AWS data services. Strong focus on implementation, development, and technical delivery.

Preferred Certifications

  • AWS Certified Data Analytics – Specialty
  • AWS Certified Solutions Architect (Associate or Professional)
  • AWS Certified Machine Learning – Specialty (preferred)
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