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Job Type

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Job Description

Profile - Data Engineer


Job Responsibilities


The data engineer responsibilities include design, executing, and managing the data pipelines between source systems and Enterprise Data Platform (EDP). The responsibilities of the engineer are as follows:

  • Responsible for the maintenance and support of the data platform.
  • Design, plan and implement modern data pipelines based on industry best practices.
  • Support data integration activities in both functional and non-functional scenarios
  • Identify and resolve data, mapping and visualisation problem tickets across IT and business teams.
  • Expose data to end users through PowerBI
  • Support proof-of-concepts, prototype on new data integrations and onboarding of new systems.
  • Document and maintain technical guidelines and documentation
  • Participate and support annual infrastructure and recovery tests.


Requirements


  • Degree in Computer Science, Software Engineering or equivalent
  • Minimum 3 years of working experience as a Data Engineer
  • Experienced in business processing mapping of data and analytics solutions.
  • Experienced in Cloud Data Transformation tools such as Azure Data Factory, Databricks and Azure Synapse
  • Experienced in Azure Data Lake Store Management
  • Proficient in scripting language such as Py-Spark, SQL-Spark, and T-SQL
  • Knowledge in data modelling and database management, such as performance tuning of the Enterprise Data Warehouse, Data Mart, and Business Intelligence Reporting environments
  • Experienced in Azure Dev-Ops processes (including CI/CD)
  • Ability to conduct data profiling, cataloging and mapping for technical design and construction of technical data flows
  • Experienced in Data Governance tools like Unity Catalog / Azure Purview, Master Data Management (MDM) and Data Quality tools and processes
  • Knowledge of business intelligence tools such as Power BI, Tableau, Qlik
  • Knowledge of Big Data stack such as Azure Event Hub, Azure IoT, Azure HDInsight (Kafka, Spark), Azure Cosmos DB & Azure Stream Analytics are a plus.
  • Working experience in SSIS, SSAS, and SSRS are a plus
  • Knowledge in data virtualization concepts using Denodo is a plus
  • Strong critical thinking, problem solving and communication skills

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