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
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