6-8 years of experience as Data Engineer. Min. 6+ years of experience in Azure Data engineering. Min. 6 years of experience designing, building, and deploying scalable cloud-based solution architectures. Advanced Python, PySpark, SQL, hands-on Data Engineering (data ingestion, data cleansing building & automating data pipelines, dataflows/jobs monitoring). Experience with Azure Synapse Analytics, Azure Data Lake, Azure Data Factory, CosmosDB, Azure SQL, Azure Databricks or equivalent tools and technologies. Hands-on experience & deep understanding in designing, development and implementation of Azure Data & Analytics architecture, data modeling, transformations, and development. Strong familiarity of data warehousing principles and concepts. Experience in working with very large volume of log data and building analytical insights based on user requirements. Expert level SQL knowledge and experience. Expert Python and Pyspark experience. Scala experience is a plus. Azure Data Engineering certification preferred. Excellent analytical and problem-solving skills. Excellent oral/written communication skills and good experience in client interactions.
DBXPERT (M) SDN BHD, a locally incorporated ICT company has been focusing in Software Development, Content Development, Oracle database services, Support Services for the learning management systems and learning content management systems (E-learning systems) and Resource centre since its incorporation in the year 2000. Our clients have been from the Corporate & Public Sectors including Banking, Insurance and Education sectors. We, in DBXpert (M) Sdn. Bhd., pledge our effort to the principles set herein to make our company a focused player in information, communications and technology driven industries
Bachelor\'s or Equivalent