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Open nowFirst seen 2 days ago

AI Data Engineer

PEO Consulting Limited134 open roles

Where
Manila, NCR, Philippines
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Your applicationOpen nowAI Data EngineerPEO Consulting Limited · Manila, NCR, 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 PEO Consulting Limited's own form.

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The clock on this job

Early applications get read.

12.1% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 2.1%1 day
  2. 4.5%3 days
  3. 12.1%7 days
  4. 19.1%14 days
  5. 35.6%30 days
  6. 52.7%60 days
This job: first seen 2 days ago

The posting

Job Title: AI Data Engineer Department: Data Engineering / AI Data Services Location: Global Reports to: VP of AI Ops Contract: Permanent Travel Requirements: No Salary: Open Budget

JOB SUMMARY / OVERVIEW The AI Data Engineer designs, develops, and maintains robust data pipelines to support AI data services operations, ensuring smooth ingestion, transformation, and extraction of large, multilingual, and multimodal datasets. This role collaborates with cross-functional teams to optimize data workflows, implement quality checks, and deliver scalable solutions that underpin our analytics and AI/ML initiatives.

KEY RESPONSIBILITIES AND ACCOUNTABILITIES Data Pipeline Development: Create and manage ETL workflows using Python and relevant libraries (e.g., Pandas, NumPy) for high-volume data processing. Data Optimization: Monitor and optimize data workflows to reduce latency, maximize throughput, and ensure high-quality data availability. Collaboration: Work with Platform Operations, QA, and Analytics teams to guarantee seamless data integration and consistent data accuracy. Quality Checks: Implement validation processes and address anomalies or performance bottlenecks in real time. Integration & Automation: Develop REST API integrations and Python scripts to automate data exchanges with internal systems and BI dashboards. Documentation: Maintain comprehensive technical documentation, data flow diagrams, and best-practice guidelines.

MAIN JOB REQUIREMENTS Education and Specific Training Bachelors degree in Computer Science, Data Engineering, Information Technology, or a related field. Relevant coursework in Python programming, database management, or data integration techniques. Work Experience 35 years of professional experience in data engineering, ETL development, or similar roles. Proven track record of building and maintaining scalable data pipelines. Experience working with SQL databases (e.g., MySQL, PostgreSQL) and NoSQL solutions (e.g., MongoDB).

Special Certifications (Non-Mandatory) AWS Certified Data Analytics Specialty, Google Cloud Professional Data Engineer, or similar certifications are a plus.

REQUIRED SKILLS Technical Skills Advanced Python proficiency with data libraries (Pandas, NumPy, etc.). Familiarity with ETL/orchestration tools (e.g., Apache Airflow). Understanding of REST APIs and integration frameworks. Experience with version control (Git) and continuous integration practices. Exposure to cloud-based data solutions (AWS, Azure, or GCP) is advantageous. Soft Skills / Competencies Communication Skills (verbal and written): 4 Planning and Organization: 4 Problem Solving: 5 Goal Orientation: 4 Proactivity: 4 Team Collaboration / Customer Orientation: 4

Qualified Candidates should send CV to [email protected]

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