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Data Engineer jobs in Malaysia

Senior Data Engineer

Great Eastern

Kuala Lumpur
On-site
MYR 60,000 - 80,000
2 days ago
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Senior Data Engineer — Data Pipelines & Analytics

Great Eastern

Kuala Lumpur
On-site
MYR 60,000 - 80,000
2 days ago
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Data Engineer

NEXTDC

Selangor
On-site
MYR 100,000 - 150,000
7 days ago
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Senior Data Engineer

Fastlane Group

Kuala Lumpur
Remote
MYR 90,000 - 120,000
5 days ago
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Data Engineer Team Lead

TG HUMAN RESOURCE MANAGEMENT SERVICES SDN BHD

Selangor
On-site
MYR 100,000 - 150,000
4 days ago
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Operations Engineer: Data-Driven Ops & Documentation

RM Leopad

Dungun
On-site
MYR 150,000 - 200,000
3 days ago
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Data Engineer

Michael Page

Puchong
Hybrid
MYR 100,000 - 150,000
4 days ago
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Data Engineer

BTI Executive Search

Shah Alam
On-site
MYR 60,000 - 80,000
5 days ago
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Senior Data Engineer

PPG Coatings

Selangor
Remote
MYR 283,000 - 365,000
5 days ago
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Data Engineer

Strateq Group

Ampang Jaya Municipal Council
On-site
MYR 50,000 - 70,000
6 days ago
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Data Engineer

Strateq Group

Kuala Lumpur
On-site
MYR 100,000 - 150,000
6 days ago
Be an early applicant

Senior Data Engineer

ZALORA Group

Kuala Lumpur
On-site
MYR 100,000 - 130,000
7 days ago
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Data Engineer

Maxis

Kuala Lumpur
On-site
MYR 80,000 - 120,000
11 days ago

Data Engineer

Wilhelmsen

Kuala Lumpur
Hybrid
MYR 75,000 - 95,000
11 days ago

Data Engineer

Wilhelmsen group

Kuala Lumpur
Hybrid
MYR 204,000 - 287,000
13 days ago

Data Engineer

Exness

Kuala Lumpur
On-site
MYR 100,000 - 130,000
11 days ago

Data Engineer

VAT Group AG

Kampung Sekolah Simpang Ampat
On-site
MYR 80,000 - 120,000
11 days ago

Data Engineer

Winsight

Penang
On-site
MYR 70,000 - 90,000
11 days ago

Data Engineer

Informa

Penang
On-site
MYR 60,000 - 80,000
11 days ago

Senior Data Engineer

Strateq Group

Selangor
On-site
MYR 100,000 - 130,000
11 days ago

Databricks Data Engineer

Avanade

Kuala Lumpur
On-site
MYR 90,000 - 120,000
11 days ago

Data Engineer

2COMS

Iskandar Puteri
On-site
MYR 70,000 - 120,000
11 days ago

Consultant - Data Engineer

Intelligen Group

Kuala Lumpur
On-site
MYR 90,000 - 130,000
11 days ago

Manager - Data Engineer

PwC

Kuala Lumpur
On-site
MYR 80,000 - 100,000
11 days ago

Data Engineer

Quacquarelli Symonds

Kuala Lumpur
Hybrid
MYR 100,000 - 150,000
11 days ago

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Senior Data Engineer
Great Eastern
Kuala Lumpur
On-site
MYR 60,000 - 80,000
Full time
2 days ago
Be an early applicant

Job summary

A leading insurance company in Kuala Lumpur seeks a professional to develop and implement data models. The role requires collaboration with data science and business units, ensuring high-quality data analytics solutions while complying with governance policies. Ideal candidates will have a Bachelor's or Master's degree in Computer Science/IT/IS, with at least 3 years of experience in relevant fields, proficiency in Python, SQL, and familiarity with big data tools.

Qualifications

  • Minimum 3 years working experience, preferably in Insurance or FI domain.
  • Experience with distributed computing and data warehousing concepts.
  • Proficiency in writing Python, PySpark, SQL, and UNIX.

Responsibilities

  • Work closely with Data Science and BU team to build data models.
  • Perform thorough data testing and validation.
  • Analyze and organize raw data from different source systems.

Skills

Data modelling
Problem solving
SQL
Python
Experience with big data tools

Education

Bachelor's or Master's degree in Computer Science/IT/IS

Tools

Hadoop
Spark
AWS
Job description
Responsibilities
  • Work closely with Data Science and BU team to build simple to complex data model that provide deep insights into data analytics. Support the implementation of high-quality analytics solutions.
  • Identify data source required for analytics
  • Responsible to perform thorough data testing and validation in supporting data ingestions while ensuring data quality
  • Analyse and organize raw data from different source systems to build dataset and data model adhering to the data architecture
  • Assembling simple to large sets of data that meet all functional business requirements
  • Work closely with the data science and business units to develop data models and pipelines for research, visual analytics and machine learning
  • Work closely with IT team to automate manual process in handling data scripts
  • Understand the data, maintain documentation and assist in data related queries
  • Ensure compliance with data governance and company security policies
  • Provide guidance and coaching to Data Engineer
  • Takes accountability in considering business and regulatory compliance risks and takes appropriate steps to mitigate the risks
  • Maintains awareness of industry trends on regulatory compliance, emerging threats and technologies in order to understand the risk and better safeguard the company
  • Highlights any potential concerns /risks and proactively shares best risk management practices
Qualifications
  • At least a bachelor’s or master’s degree in computer science / IT / IS or its equivalent
  • Experience with distributed computing, data warehousing concepts, data modelling/architecture and building SQL scripts to support data transformation and data delivery
  • Experience with big data tools such as Hadoop, Spark, etc
  • Experience with cloud solutions preferably AWS
  • Minimum 3 years working experience, preferably in Insurance or FI domain
  • Proficiency in writing python, pyspark, SQL and UNIX
  • Excellent problem solving and troubleshooting skill
  • Results oriented. Able to identify the root issues, identify what need to be done and work as team to get the issues resolved
  • Familiarity with data science technique is a plus
  • High level of integrity, takes accountability of work and good attitude over teamwork
  • Takes initiative to improve current state of things and adaptable to embrace new changes

Great Eastern does not accept unsolicited agency resumes. Please do not forward resumes to our email or our employees. We will not be responsible for any fees related to unsolicited resumes.

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* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.

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