Data engineer - Azure - Toa Payoh - ref. b28355615

Benefits: 13th Month Salary

Data engineer (Azure) – Synapse and Pyspark, Python, Datawarehouse and Power BI , Azure Devops

• Bachelor’s Degree in Computer Science or Engineering with 3-5 years of experience in Azure Data engineering, Python, Pyspark or Big Data development
• Sound Knowledge of Azure Synapse analytics for pipelines, orchestration, set up
• 1-2 experience in Visualization design and development with Power BI. Knowledge on row-level security, access control
• Sound experience in SQL, Datawarehouse, data marts, data ingestion with Pyspark and Python
• Expertise in developing and maintaining ETL processing pipelines in cloud-based platforms such as AWS, Azure, etc. (Azure Synapse or data factory preferred)
• Team player with good interpersonal, communication, and problem-solving skills.

• Design, review and development of Pyspark scripts. Testing, troubleshooting of data pipelines, orchestration
• Designing and developing reports and dashboards in Power BI, setting up access control with row-level security, DAX query experience
• Establishing connections to source data systems, including internal systems e.g. SAP, Historians, Data Lake, etc. as well as external systems such as Web APIs, etc
• Managing the collected data in appropriate storage/data-base solutions e.g. file systems, SQL servers, Big Data platforms such as Hadoop, HANA, etc. as required by the specific project requirements
• Design, development of data marts and relevant data pipelines using pyspark, data copy activities for batch ingestion
• Deployment of pipeline artifacts from one environment to the other using Azure Devops
• Performing data integration e.g. using database table joins, or other mechanisms at an appropriate level as required by the analysis requirements of the project.

• Data catalog with Purview enabling effective metadata management, lineage tracking, and data discovery
• Candidates should demonstrate the ability to leverage Purview to ensure data governance, compliance, and efficient data exploration within Azure environments.

• Able to work independently on assignment according to agreed schedule without much supervision
• Own assignment and take initiative to resolve issues hinder completion of assignment Proactively reach out for help/guidance whenever required.