AI Data Engineer

AI Data Engineer PEO Consulting Limited | Career Page

AI Data Engineer

Share

• Facebook
• Line
• LinkedIn
• X (Formerly Twitter)
• Whatsapp
• Email

Apply

Refer

< back to jobs opening

Job Description

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 deborah@gratitudeindia.com

Working Place

NCR City, of Manila

Share

• Facebook
• Line
• LinkedIn
• X (Formerly Twitter)
• Whatsapp
• Email

Apply

Refer

< back to jobs opening