Data Engineer

2 days ago

Central Singapore PERSOLKELLY Full time

The Data Engineer will be responsible for designing, building, and maintaining scalable data pipelines and data infrastructure. They will collaborate with cross-functional teams to ensure data quality, optimize data flow, and implement data models. The Data Engineer should possess strong programming skills, proficiency in SQL, and experience with cloud-based technologies. They should also have a solid understanding of data warehousing concepts and be able to troubleshoot and resolve data issues.

**Contract Duration - 12 Months renewable**

**Working Hours - Mon to Fri, as per customers' operating hours**

**Working Location - Central
- **Create and maintain data architectures that meets the needs of clients.**
- **Build and maintain platforms required for storage, extraction, transformation, and loading of data from a wide variety of data sources.**
- **Improve discoverability and distribution of analytical data to data analysts and data scientists.**
- **Implement best practices in data security throughout the lifecycle of analytical data.**

**Job Requirements**
- **Bachelor Degree in Information Systems (IS), Computer Science or related field in a reputed institution.**
- **Experience in designing and maintaining data platforms such as data lakes, data warehouses and the associated data pipelines.**
- **Proficient in creating and maintaining complex data pipelines using tools such as Microsoft SQL Server Integration Services (SSIS).**
- **Experience in Commercial Cloud such as Amazon web Services (AWS), Google cloud Platform (GCP) and Microsoft Azure.**
- **Knowledge of data platforms such as Spark, Flink, Kafka, SQL and NoSQL databases, Airflow.**
- **Knowledge of the latest developments in data engineering and best practices in data management.**
- **Knowledge of cloud technologies in data platforms is a plus e.g. Snowflake, AWS Redshift, Google BigQuery, Azure Synapse**

***:
**PERSOLKELLY Singapore Pte Ltd - RCB No. 200007268E - EA License No. 01C4394**
**R1105286 (Ngiam Xinyi (Yan Xinyi))

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