Job Description

Required Skills & Qualifications

Bachelor's, Master's, or PhD in Computer Science, Data Engineering, or a related discipline. 5-7 years of experience in data engineering and distributed data systems. Strong hands-on experience with Apache Hive, HBase, Kafka, Solr, Elasticsearch. Proficient in data architecture, data modelling, and pipeline scheduling/orchestration. Operational experience with Data Mesh, Data Product development, and hybrid cloud data
platforms.

Familiarity with CRM systems, including CRM system, and data sourcing/mapping strategies. Proficient in managing metadata, glossary, and lineage tools like Apache Atlas. Proven experience in generating large-scale batch files using Spark and Hive. Strong understanding of document-based data models and the transformation of relational
schemas into document-oriented structures.

Expertise in data administration, modelling, mapping, collection, and distribution. Strong understanding of business workflows to support metadata governance. Hands-on experience with analytics and DWH tools (e.g., SAS, Oracle, MS SQL, Python, R
Programming).

Familiarity with data modelling tools (e.g., ERWIN), and enterprise databases (Oracle, IBM
DB2, MS SQL, Hadoop, Object Store).

Experience working across hybrid cloud environments (e.g., AWS, Azure Data Factory). In-depth knowledge of ETL/ELT processes and automation frameworks. Analytical thinker with strong problem-solving and communication skills. Able to collaborate effectively across technical and business teams. Proven ability to deliver high-quality outcomes within
Job Types: Full-time, Permanent

Pay: Up to RM12,000.00 per month

Work Location: In person