- 2 LENG KEE ROAD Central Region (Singapore) Singapore

Working Location
Job Description
Responsibilities
This is a full-time role for a Data Engineer. The Data Engineer will be responsible for designing and implementing scalable data pipelines, developing and maintaining data models, performing Extract, Transform, Load (ETL/ELT) processes, and managing modern data warehousing and analytics solutions—primarily utilizing Microsoft Fabric and Databricks. The role also includes building and operationalizing lakehouse architectures, ensuring data governance and security best practices, and analyzing complex datasets to support business decision-making. Collaboration with cross-functional teams to deliver high-quality data solutions is essential.
Qualifications
Strong proficiency in Data Engineering, Data Modelling, and building Lakehouse/Data Warehouse solutions
Demonstrates strong proficiency in Medallion architecture and metadata-driven concepts.
Hands-on experience with Microsoft Fabric (Data Factory, Lakehouse, Warehouse, OneLake, Data Activator, Power BI integration)
Hands-on with Databricks (Spark, Delta Lake, DLT pipelines, Unity Catalog)
Proficiency in ETL/ELT development and orchestration within Azure ecosystem
Strong skills in Data Analytics using SQL, Python or PySpark
Knowledge of Cloud-native data platforms including Azure Data Lake, Azure Synapse, Azure Data Factory, Azure Storage, etc.
Understanding of data governance, security, and CI/CD best practices for cloud data platforms
Strong problem-solving and analytical skills
Ability to work independently and remotely in a fast-paced environment
Bachelor’s degree in computer science, Information Technology, or related field
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