Azure Data Engineer

2 weeks 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 35 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 wellversed 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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