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Senior Big Data Engineer

POWER IT SERVICESKuala Lumpur, Kuala Lumpur, Malaysia

5 hours ago

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.

Additional Technical & Business Competencies

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

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Senior Data Engineer • Kuala Lumpur, Kuala Lumpur, Malaysia

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