Azure Data Engineer: ETL, Spark & Modeling

GECO Asia Pte Ltd; Singapore; On-site; SGD 100,000 - 130,000; Full time

Job summary

A leading data solutions company in Singapore is seeking an experienced Data Engineer to design, develop, and maintain scalable data solutions on the Azure platform. The ideal candidate will have at least 5 years of data engineering experience, strong expertise in Azure services, SQL, and Python, and a solid understanding of ETL processes. Collaboration with teams in Agile environments is essential for this role.

Qualifications

• 10+ years of total IT experience, with at least 5+ years in data engineering.
• Strong hands-on experience with the Azure stack.
• Proficiency in SQL and Python.
• Knowledge of data modeling and big data technologies.

Responsibilities

• Design and implement data storage solutions using Azure services.
• Develop and maintain data pipelines using Azure Data Factory.
• Build and optimize data models for analytics and reporting.
• Work with Azure Databricks and Apache Spark.
• Implement data validation, cleansing, and quality assurance.

Skills

Azure services

SQL

Python

Databricks

ETL processes

Data governance

Data modeling

Data warehousing

Big data technologies

Agile/Scrum

Tools

Azure Data Lake

Azure Data Factory

Apache Spark

Azure SQL Database

Azure Blob Storage

Azure DevOps

Job description

A leading data solutions company in Singapore is seeking an experienced Data Engineer to design, develop, and maintain scalable data solutions on the Azure platform. The ideal candidate will have at least 5 years of data engineering experience, strong expertise in Azure services, SQL, and Python, and a solid understanding of ETL processes. Collaboration with teams in Agile environments is essential for this role.