Hybrid AI & Data Engineer - Finance Analytics

Intel Corporation

George Town

Hybrid

MYR 120,000 - 180,000

Full time

12 days ago

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Job summary

Intel Corporation is seeking an skilled AI and Data Engineer to join the IT AI and Data Analytics team. You will design and scale cloud-based data and AI solutions, building modern data architectures and robust pipelines using Azure, Snowflake, and Databricks.

The role emphasizes finance data domains and governance, delivering near real-time insights for business stakeholders. You will contribute to Intel’s transformation journey while enabling enterprise analytics and AI-driven decision making

Qualifications

  • Bachelor’s or Master’s degree in Data Science, CS, IS, Engineering, Analytics or related quantitative field.
  • 3–6 years of data engineering, analytics, and data solution delivery in large-scale enterprise environments.
  • Proficiency in SQL and Python; design, build, and optimize scalable data pipelines and analytics.

Responsibilities

  • Design, develop, and scale cloud-based data and AI solutions.
  • Build and optimize modern data architectures and data pipelines.
  • Deliver AI-powered insights using Azure, Snowflake, Databricks, and other cloud platforms.
  • Support finance data domains and enterprise governance.
  • Create dashboards and analytical solutions for BI and decision making.

Skills

SQL
Python
Cloud platforms
Data pipelines
AI/GenAI awareness
BI tools

Education

Bachelor’s or Master’s degree in Data Science/CS/Engineering

Tools

Azure
ADF
Databricks
Snowflake
BigQuery
Power BI
SAP BO/WebI

Job description

Intel Corporation is seeking an skilled AI and Data Engineer to join the IT AI and Data Analytics team. You will design and scale cloud-based data and AI solutions, building modern data architectures and robust pipelines using Azure, Snowflake, and Databricks.

The role emphasizes finance data domains and governance, delivering near real-time insights for business stakeholders. You will contribute to Intel’s transformation journey while enabling enterprise analytics and AI-driven decision making

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