Azure Data Engineer

1 week ago

Singapore SMART INFORMATION MANAGEMENT SYSTEMS PRIVATE LIMITED Full time

**Executive Summary**

Smart IMS Inc provides Digital technology & Cloud transformation services, Application & Infrastructure Management Services, Unified Communications, and Insurance implementation services to customers across the Americas, Europe, Middle East, and Asia-Pacific regions. As the trusted technology and business partner of leading MNCs, including Global Investment Banks, Smart IMS is also a Microsoft Gold Certified Partner, Oracle Platinum Partner and AWS MSP Partner.

We are looking to hire a Data Engineer specialising in Azure to support our client in Singapore which is a multinational company.

**Responsibilities**:

- Translate business requirements to technical solutions leveraging strong business acumen.
- Analyze current business practices, processes and procedures as well as identifying future business opportunities for leveraging Microsoft Azure Data & Analytics PaaS Services
- Support the planning and implementation of data design services, providing sizing and configuration assistance and performing needs assessments.
- Delivery of architectures for transformations and modernizations of enterprise data solutions using
- Azure cloud data technologies.
- Design and Build Modern Data Pipelines and Data Streams.
- Design and Build Data Service APIs.
- Develop and maintain data warehouse schematics, layouts, architectures and relational/non[1]relational databases for data access and Advanced Analytics.
- Expose data to end users using PowerBI, Azure API Apps or any other modern visualization platform or experience.
- Implement effective metrics and monitoring processes.

**Requirements**:

- Around 3-5 years of working experience as a Data Engineer
- Demonstrated experience in turning business use cases and requirements into technical solutions.
- Experience in business processing mapping of data and analytics solutions.
- Ability to leverage a variety of programming languages & data crawling/processing tools to ensure data reliability, quality & efficiency.
- Experienced in Cloud Data Transformation using ETL/ELT tools such as Azure Data Factory, Azure Synapse Analytics, SSIS etc.
- Experienced in writing well-versed SQL scripts/Stored Procedures to achieve desired transformation.
- Experience in working with SSMS, strong in Python.
- Experienced in Dev-Ops processes (including CI/CD) and Infrastructure as code fundamentals.
- Experienced in Data Governance tools like Microsoft Purview, Master Data Management (MDM) and Data Quality tools and processes.
- Knowledge of Power BI and Embedded Power BI is necessary.
- Knowledge of Azure Data Lake and Azure SQL/SQL MI is required. Azure IoT, Azure HDInsight + Spark, Azure Cosmos DB & Azure Stream Analytics are a plus.
- Experience preparing data for Data Science and Machine Learning is desired, not mandatory.
- Experience preparing data for use in Azure Machine Learning / Azure Databricks is a plus.
- Strong team collaboration and experience working with remote teams.
- Working experience in Visual Studio, PowerShell Scripting, and ARM templates.

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