Job Description

We are seeking a proactive, tech-savvy Data Implementation Intern to join our data services team. In this hands-on role, you will work alongside experienced Data Architects, Solution Consultants, and Engineers to build, test, and deploy modern data solutions for real-world enterprise projects.

This internship is ideal for students or recent graduates who want practical exposure to Data Warehousing, Data Lake environments, ETL/ELT pipelines, Business Intelligence (BI), and client-facing technical delivery.

Key Responsibilities

• Data Analysis & Scoping: Assist in evaluating source database structures, relationships, and technical requirements to support integration planning.
• Pipeline & Warehouse Support: Collaborate with senior engineers on data ingestion, ETL/ELT transformation, and validation activities across Data Lake and Data Warehouse environments.
• BI & Reporting: Design, build, and enhance interactive dashboards and visualization suites based on core business requirements.
• Quality Assurance & Testing: Prepare test cases, execute data quality validations, identify anomalies, and support bug resolution.
• Technical Documentation: Author and maintain clear project documentation, data mapping specs, and system guides.
• Deployment & Knowledge Transfer: Support system deployments, assist in preparing user training materials, and participate in client onboarding activities.

Job Requirements

• Currently pursuing or recently completed a Bachelor’s degree in Computer Science, Information Technology, Data Science, Software Engineering, or a related field.
• Fundamental knowledge of SQL (writing select queries, joins, basic aggregations).
• Basic understanding of relational database concepts, data structures, and data warehousing principles.
• Familiarity with at least one programming/scripting language (e.g., Python) or data visualization tool (e.g., Power BI, Tableau) is a plus.
• Strong analytical, problem-solving, and critical-thinking abilities.
• Excellent verbal and written communication skills with an eagerness to learn in a fast-paced team environment.
• Able to work in KL or Cyberjaya area

Skills