Job Description

Job Title:

Data Engineer

Responsibilities

Project Responsibilities:

Lead requirements gathering for data-related projects. Participate in ETL development, ensuring efficiency and scalability. Prepare and maintain documentation, including data mapping and data dictionaries. Collaborate closely with application developers to build high-performance APIs.

General Responsibilities:

Act as the subject matter expert on data sources, definitions, and usage. Provide guidance on achieving business requirements through data-driven solutions. Contribute to setting up and continuously improving a stable data development environment. Ensure timely delivery of all project commitments and deliverables. Demonstrate flexibility and adaptability to changing project requirements. Perform detailed analysis of data-related tasks. Support BAU operations and continuously enhance existing ETL processes. Work on one or more projects as an active project team member.

Requirements

Minimum 2+ years of experience with hands-on expertise in

R, Python, Java, and ETL/ELT tools

(Informatica, Talend, OS scripting). Strong experience (in at least 2 or more areas) across: Data Analysis, Data Mapping, Data Profiling, Data Mining Data Modeling, Data Standards, Data Streaming Data Visualization, Data Masking & Encryption/Decryption Data Lineage, Data Quality Scorecards Data Management & Data Governance Strong SQL expertise, including query optimization and database fundamentals.

Advantageous Skills

Experience in Data Warehousing and Big Data platforms. Prior experience in a similar data engineering role.
Job Type: Full-time

Pay: RM11,000.00 - RM12,000.00 per month

Education:

Bachelor's (Preferred)
Experience:

Data Engineer: 2 years (Required) ETL or ELT data flow pipeline. Preferable Informatica: 2 years (Required) knowledge in NiFi and Flink : 1 year (Preferred) Banking domain knowledge: 1 year (Preferred) MSSQL: 3 years (Preferred)
Work Location: In person