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Senior / Executive, Data Engineer (ID : 13391)

PERSOLKuala Lumpur, Kuala Lumpur, Malaysia

1 day ago

Job description

Position : Senior / Executive, Data Engineer

Company : Banking

Working Location : Jalan Tun Razak, KL

Working Hours : Monday to Friday (8.45am - 5.45pm)

Salary : RM 7000 - RM 12 000 (based on work experience)

Qualifications

Senior Executive :

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

Executive :

Bachelor\u2019s degree or above in Computer Science, Economics, Finance, Mathematics, Statistics or equivalent.

2–3 years of experience in data engineering or related roles (banking & insurance experience is a plus).

Good knowledge of relational databases and proficiency in SQL.

Basic to intermediate experience with Python (or Scala) for ETL / ELT pipelines.

Familiarity with distributed processing frameworks (e.g., Spark) and exposure to streaming technologies (e.g., Kafka) is advantageous.

Understanding of data lake / data warehouse concepts and modern formats (e.g., Parquet, Iceberg, Delta).

Requirements

Senior Executive :

Provide technical leadership, guidance, and act as a reference point for data engineering and analytical solutions, especially in Data Products.

Develop and implement modern Data Engineering solutions aligned with industry best practices.

Drive DataOps / MLOps knowledge-sharing and collaboration across business and IT teams.

Translate conceptual and logical data models into efficient and maintainable physical data implementations

Executive :

Support the design, development and maintenance of automated data pipelines and workflows that deliver reliable and high-quality Data Products.

Assist in implementing best practices for data ingestion, transformation and curation to ensure downstream teams have timely access to accurate data.

Contribute to documentation, process improvements and adoption of emerging data tools under the guidance of senior engineers.

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Which of the following statements best describes your right to work in Malaysia?

What\u2019s your expected monthly basic salary?

Which of the following types of qualifications do you have?

How many years\' experience do you have as a Data Executive?

Which of the following programming languages are you experienced in?

How many years\' experience do you have using SQL queries?

How much notice are you required to give your current employer?

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Data Engineer • Kuala Lumpur, Kuala Lumpur, Malaysia

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