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Senior Data Engineer, CLM Hub

(Data Analyst)

Prudential (Cambodia) Life Assurance
Tuol Kouk | Phnom Penh
Verified This job has been verified by the company as a real job vacancy.
2 days ago
Recruiter active 1 day ago The recruiter at this company was last active reviewing applications.
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Senior Data Engineer, CLM Hub

(Data Analyst)

Prudential (Cambodia) Life Assurance
Recruiter active 1 day ago The recruiter at this company was last active reviewing applications.
Cambodia - Phnom Penh
Verified This job has been verified by the company as a real job vacancy.

Experience level

Experienced Non-Manager

Job Function

IT Hardware, Software

Job Industry

IT/Computer

Min Education Level

Bachelor Degree

Job Type

Full Time

Job Description

An Exciting Opportunity for ...

  • Collaborate with stakeholders (Agile, Product, Data Science, Architecture, Infrastructure) to align data engineering initiatives with business objectives.
  • Design and implement data replication pipelines from various sources (DB2, MongoDB, Kafka) into the Enterprise Data Warehouse or Data Lake.
  • Support the implementation of real-time Change Data Capture (CDC) pipelines for real-time data needs.
  • Develop and maintain ETL pipelines and data models to address diverse business requirements across multiple markets.
  • Implement data monitoring and validation processes (duplicate checks, record tally checks, data integrity checks).
  • Maintain and optimize the enterprise data warehouse for performance and reliability.
  • Contribute to data documentation (data dictionaries, definitions) and ensure adherence to data management frameworks and compliance with group data policies.
  • Provide data-related consultation to stakeholders, ensure data solutions meet project requirements, and mentor junior data engineers.
  • Performing other tasks assigned by Management.

Open To

Male/Female

Job Requirements

  • Degree in Computer Engineering, Information Technology, Management Information System (MIS), or related field
  • At least 3 years of experience in Data Engineer, Data Warehouse Specialist, or related experience.
  • Experience with relational databases like SQL Server, DB2, PostgreSQL, or Azure SQL PaaS, and familiarity with NoSQL databases like MongoDB, or CouchDB.
  • Experience with data pipeline technologies like SSIS, or Azure Data Factory, and knowledge of Change Data Capture (CDC) implementation.
  • Hands-on experience with cloud platforms like Microsoft Azure, including Azure SQL PaaS, Service Bus, AKS, or VMs.
  • Proficiency with Visual Studio and SQL Server Management Studio for data engineering tasks.
  • Familiarity with corporate processes and regional policies/frameworks.
  • Exposure to data replication, ETL processes, and data integration.

What We Can Offer

Benefits

Competitive salary and benefits
Annual performance bonus
Medical assurance covering a whole family
Life insurance & critical illness
And more

Highlights

  • An awesome company
  • Join a winning team
  • You can make a difference

Career Opportunities

  • Opportunities for promotion
  • Possibility for job training
  • Learn new skills and techniques