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Sekolah.mu

Sr. Data Engineer - I

5-7 Years
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  • Posted 12 hours ago
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Job Description

Overview

To architect and maintain the organization's Integration and Analytical data infrastructure. This role ensures high-quality data flow from heterogeneous sources into a unified platform while establishing the technical standards and best practices for data modeling. The role empowers data team members by providing a high-performance, governed environment (OLAP engines, Data Catalog, and Quality Frameworks) and ensuring technical data contracts are enforced.

Key Responsibilities:

  1. Design, build, and maintain scalable data pipelines (ETL/ELT) from multiple sources such as databases, APIs, logs, and files.
  2. Develop and manage data warehouses and data lakes for structured and semi-structured data.
  3. Clean, validate, transform, and integrate data to support analytics, reporting, and business needs.
  4. Build and maintain APIs and data interfaces for seamless data exchange across systems.
  5. Optimize data pipeline performance, query efficiency, and system reliability.
  6. Ensure data quality, security, and governance in compliance with standards and regulations.
  7. Deploy, monitor, and maintain data engineering solutions in production environments.
  8. Provide technical guidance, code reviews, and quality control for data engineering projects.

Requirements

  1. Bachelor's degree in Computer Science, Engineering, or a related technical field.
  2. Typically 5+ years of relevant experience in Data Engineering, with a proven track record of architecting integration layers and managing complex data warehouses.
  3. Deep understanding of Distributed Systems, OLAP optimization, Data Governance frameworks, and Data Modeling best practices.
  4. Technical Competencies
  • Expert SQL & Python
  • Modern Warehouse/OLAP Expertise
  • Data Orchestration (Experience with Airflow or similar tools).
  • Technical Governance Tools (Experience with Open Metadata, DataHub, or Amundsen).
  • Data Contracts & Lineage (Knowing how to define schemas and track data flow).
  • Software Engineering Basics (Docker, Git, and CI/CD for automating deployments).
  • Integration Methods (Change Data Capture/CDC, Kafka, and API integration).

Only shortlisted candidates will be contacted

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About Company

Job ID: 143363839

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