Data Engineer & Analytics Specialist — Big Data Pipelines

Hong Leong Bank Berhad; Selangor; On-site; MYR 120,000 - 180,000; Full time

Job summary

Hong Leong Bank Berhad is seeking a Data Engineer and Analyst to design, code, and implement ETL processes for the data lake, translating business needs into scalable data solutions.

The role requires strong SQL, data quality focus, and experience with large-scale data projects in a financial services setting. You will work with Informatica, SSIS, and modern streaming/batch frameworks in a collaborative environment.

Qualifications

• 4–6 years of experience in Data Engineering ETL, SQL and Big Data, preferably within Financial Services.
• 1–2 years in leadership or supervisory capacity.
• Proven track record delivering complex, large-scale data projects.

Responsibilities

• Consults with users and stakeholders on issues and recommends advanced data solutions.
• End-to-end design, development, testing and implementation of ETL processes.
• Maintains data lake/warehouse quality and performance across environments.
• Leads post-implementation reviews and ensures continued system effectiveness.
• Works with real-time and batch data ingestion frameworks (Kafka/Flink/Hudi/Hive/ClickHouse).

Skills

SQL

Data Quality

ETL Development

Python

Linux

Agile

Tools

Informatica ETL

SSIS

Kafka

Flink

Hudi

Hive

ClickHouse

Jupyter Notebook

Job description

Hong Leong Bank Berhad is seeking a Data Engineer and Analyst to design, code, and implement ETL processes for the data lake, translating business needs into scalable data solutions.

The role requires strong SQL, data quality focus, and experience with large-scale data projects in a financial services setting. You will work with Informatica, SSIS, and modern streaming/batch frameworks in a collaborative environment.