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- Degree in Computer Science, information Technology or Software Engineering;
- At least 3 years of working experience in data engineering;
- Good working experience in business process mapping for data analytics;
- Has experience in Azure Data Lake Store Management;
- Has experience in Azure DevOps processes, including CI / CD;
- Knowledge in Cloud Data Transformation tools such as Azure Data Factory, Databricks and Azure Synapse;
- Proficient in scripting such as Py-Spark, SQL-Spark, and T-SQL;
- Good knowledge in performance tuning of Enterprise Data Warehouse, Data Mart and Business Intelligence Reporting;
- Good working experience in Data Governance ( Unity Catalog / Azure Purview ), Master Data Management and Data Quality tools and processes;
- Able to conduct data profiling, cataloging and mapping to construct data flows;
- Has knowledge in Data Visualization tools such as Power BI, Tableau, Qlikview;
- Strong verbal and written communication skills.
- Knowledge of Big Data stack such as Azure Event Hub, Azure IoT, Azure HDInsight (Kafka, Spark), Azure Cosmos DB & Azure Stream Analytics;
- Experience in SSIS, SSAS, and SSRS;
- Knowledge in data virtualization concepts using Denodo.
- Part of the data team to maintain (Business-As-Usual) and support the enterprise data platform (on Azure);
- Design, plan and implement efficient and scalable data pipelines according to business requirements;
- Collaborating with cross-functional teams to support data integration activities, i.e. understand data requirements, identify data sources, and ensure data quality and integrity;
- Involve in reviewing concepts and prototypes on new data integration and new systems;
- Identify and resolve problems related to data mapping and visualization;
- Create visualizations to display outcome from data models using PowerBI;
- Troubleshooting and resolving issues related to data integration, data mapping, data quality and data visualization;
- Responsible for maintaining master data models (logical & physical), data dictionary, data workflow and overall data documentation;
- Implementing best practices for data integration, data governance, and data management & data recovery.
Data Engineer - Singapore - Sciente International Pte Ltd
Description
A great opportunity for Data Engineer enthusiast to take part in designing, executing and managing data pipelines and data platform.Mandatory Skill-set
Should you be interested in this career opportunity, please send in your updated resume to [HIDDEN TEXT] at the earliest.
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