Data Engineer: Build Scalable Data Platform for AI

Mettler-Toledo Services Asia-Pac Sdn Bhd

Petaling Jaya

On-site

MYR 120,000 - 180,000

Full time

14 days+
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Benefits offered by this job

Medical Coverage (Spouse and children)
Dental Coverage (Spouse and children)
Life Insurance Plan
Equal Opportunity Employment

Job summary

METTLER TOLEDO is seeking a Data Engineer to design, build and maintain a central data platform enabling analytics, data distribution and AI/ML initiatives across the organization.

You will work with data scientists, analysts and business stakeholders to deliver trusted, well-structured data for operational, analytical and AI/ML use cases, while building data lake/lakehouse solutions with Databricks and Snowflake.

Qualifications

  • Bachelor’s degree in Computer Science, Engineering, Information Systems, or equivalent technical field.
  • 3+ years of hands-on experience in data engineering or a similar role.
  • Strong experience with Apache Spark, Snowflake, Databricks.
  • Programming languages: Python, SQL.
  • Solid understanding of data modeling, ETL/ELT, and data warehousing principles.
  • Experience with orchestration tools (e.g., Airflow, Prefect).
  • Familiarity with cloud platforms (preferably Azure).
  • Experience with metadata management tools.
  • Strong analytical and problem solving skills.
  • Ability to work collaboratively in a cross-functional environment.
  • Good communication and documentation skills.
  • Commitment to high-quality work, data security, and continuous improvement.

Responsibilities

  • Design, build and maintain METTLER TOLEDO’s central data platform for analytics and AI/ML.
  • Develop scalable data pipelines and secure data flows across the organization.
  • Collaborate with data scientists, analysts and stakeholders to deliver trusted data.
  • Develop and maintain data lake/lakehouse using Databricks and Snowflake.
  • Create and optimize ETL/ELT and reverse ETL processes.
  • Ensure data quality, governance and security across pipelines.
  • Implement CI/CD practices and maintain metadata catalogs and data lineage.

Skills

Python
SQL
Data modeling
ETL/ELT
Data warehousing
Problem-solving
Communication

Education

Bachelor’s degree in Computer Science or related field

Tools

Apache Spark
Snowflake
Databricks
Airflow
Prefect
Azure

Job description

METTLER TOLEDO is seeking a Data Engineer to design, build and maintain a central data platform enabling analytics, data distribution and AI/ML initiatives across the organization.

You will work with data scientists, analysts and business stakeholders to deliver trusted, well-structured data for operational, analytical and AI/ML use cases, while building data lake/lakehouse solutions with Databricks and Snowflake.

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