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Senior Data Engineer: Build Scalable Pipelines & AI Data

Ernst & Young Advisory Services Sdn Bhd

Kuala Lumpur

On-site

MYR 60,000 - 80,000

Full time

Today
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Job summary

A leading advisory firm in Kuala Lumpur is seeking a Data Engineer to design, build, and maintain robust data pipelines for large-scale analytics and AI workloads. Candidates should have a Diploma/Bachelor's in Computer Science/IT and some experience in data engineering. Strong SQL and programming skills in Python, Java, or Scala are required. You'll work hands-on with senior engineers to ensure efficient data collection and availability. EY offers growth in a diverse, flexible environment.

Benefits

Flexible environment
World-class experiences
Diverse and inclusive culture

Qualifications

  • Possess some experience as a Data Engineer or ETL Developer.
  • Basic proficiency in SQL and at least one programming language.

Responsibilities

  • Design, develop ETL/ELT pipelines for data.
  • Build data storage solutions like data lakes and warehouses.
  • Implement data quality and validation processes.
  • Optimize query performance in data processing systems.
  • Collaborate with data scientists and application developers.
  • Automate workflows for data ingestion and transformation.

Skills

Data Engineering
SQL
Python
Java
Scala

Education

Diploma/ Bachelor's degree in Computer Science/ IT/ Machine Learning/ AI

Tools

Apache Spark
Informatica
Talend
Microsoft SSIS
Kafka
NiFi
Airflow
AWS Redshift
GCP BigQuery
Azure Synapse
Docker
Kubernetes
Git
Terraform
Job description
A leading advisory firm in Kuala Lumpur is seeking a Data Engineer to design, build, and maintain robust data pipelines for large-scale analytics and AI workloads. Candidates should have a Diploma/Bachelor's in Computer Science/IT and some experience in data engineering. Strong SQL and programming skills in Python, Java, or Scala are required. You'll work hands-on with senior engineers to ensure efficient data collection and availability. EY offers growth in a diverse, flexible environment.
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