Data Engineer

Singapore, Singapore

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Design, develop, and maintain ETL pipelines and data workflows using Spark, Hadoop, Hive, and related frameworks.
Work with large-scale structured and unstructured data to enable business insights.
Collaborate with Data Scientists, Analysts, and other stakeholders to ensure data availability and quality.
Implement data ingestion and transformation processes using distributed computing frameworks.
Optimize performance of big data applications and troubleshoot issues in the data pipelines.
Ensure data security, compliance, and governance across all platforms.

Requirements:

3-6 years of experience as a Data Engineer or in a similar role.
Strong hands-on knowledge of Apache Spark, Hadoop, Hive, HDFS, and SQL.
Proficiency in Python / Scala / Java for data engineering tasks.
Solid understanding of data warehousing concepts, ETL design patterns, and data modeling.
Experience with workflow orchestration tools (Airflow, Oozie, etc.) is a plus.
Familiarity with cloud platforms (Azure, AWS, or GCP) is advantageous.
Strong problem-solving skills and ability to work in a collaborative team environment.

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