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Senior Big Data Engineer
POWER IT SERVICESKuala Lumpur, Kuala Lumpur, Malaysia11 jam yang lalu
Penerangan pekerjaanFamiliarity 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 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 Familiarity with data modelling tools (e.g., ERWIN), and enterprise databases (Oracle, IBM 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
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.
schemas into document-oriented structures.
Additional Technical & Business Competencies
Programming).
DB2, MS SQL, Hadoop, Object Store).
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Senior Data Engineer • Kuala Lumpur, Kuala Lumpur, Malaysia
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