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Data Engineer

Data Engineer

Net2Source (N2S)Kuala Lumpur, Kuala Lumpur, Malaysia
12 jam yang lalu
Penerangan pekerjaan

APAC Market || Talent Acquisition || Recruitment

We are seeking a skilled and detail-oriented data professional to design, build, and maintain scalable data solutions that enable data-driven decision-making across the organization. The ideal candidate will have hands-on experience with Azure Data Factory (ADF) , Azure Databricks , and CI / CD pipelines , along with strong analytical and data modeling capabilities.

Overview

Overview is included in the description above.

Key Responsibilities

  • Design, develop, and maintain robust data pipelines using Azure Data Factory (ADF) and Databricks.
  • Collaborate with business and technical stakeholders to gather, analyze, and translate data requirements into scalable solutions.
  • Develop and optimize ETL / ELT workflows to integrate data from various sources into centralized data models or data warehouses.
  • Build and maintain data models (conceptual, logical, and physical) that ensure consistency, quality, and accessibility of enterprise data.
  • Implement and maintain CI / CD pipelines for automated deployment and version control of data solutions.
  • Conduct data analysis and validation to ensure accuracy, integrity, and completeness of data across environments.
  • Create dashboards, reports, or analytics views to support business insights and data visualization needs.
  • Work closely with cross-functional teams (data scientists, analysts, business users) to improve data quality, performance, and governance .
  • Ensure security, compliance, and documentation standards are followed throughout the data lifecycle.

Required Skills & Experience

  • Bachelor’s or Master’s degree in Computer Science, Information Systems, Statistics, or a related field.
  • 3–8 years of experience in data engineering, analytics, or modeling (depending on role level).
  • Strong proficiency with Azure Data Factory (ADF) and Azure Databricks for pipeline orchestration and data processing.
  • Hands-on experience with SQL , Python , and data transformation frameworks.
  • Solid understanding of data warehousing concepts , data modeling (Dimensional, 3NF) , and ETL best practices .
  • Experience with CI / CD tools (Azure DevOps, Git, or similar) for automated deployment.
  • Knowledge of cloud platforms (Azure, AWS, or GCP) and related data ecosystem tools.
  • Strong analytical thinking, problem-solving, and communication skills.

    • Preferred (Nice-to-Have)

  • Experience with Power BI, Synapse Analytics , or Snowflake .
  • Exposure to Data Vault , Medallion Architecture , or Lakehouse design principles .
  • Understanding of data governance , metadata management , and data security practices.
  • Familiarity with Agile / Scrum project methodologies.

    • Seniority level

  • Mid-Senior level

    • Employment type

  • Contract

    • Job function

  • Business Development

    • Industries

  • Data Infrastructure and Analytics

    • #J-18808-Ljbffr

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    Data Engineer • Kuala Lumpur, Kuala Lumpur, Malaysia