Data Engineer (Tableau/Big Data)

Responsibilities

• Gather, analyse, and document business and data requirements.
• Enhance data collection and consumption processes through more efficient data integration channels.
• Design, develop, and maintain data pipelines, ETL processes, and reporting solutions to support analytics and business needs.
• Prepare test plans, execute system testing, and support user acceptance testing (UAT).
• Collaborate with technical and business stakeholders to ensure successful deployment and adoption of solutions.
• Monitor, support, and maintain production systems to ensure service reliability and performance.
• Troubleshoot and resolve data, application, and infrastructure-related issues.

Requirements

• 5-7 years of experience with Python, PySpark, Linux, SQL, data modelling, and ETL tools such as Informatica.
• Experience with Hadoop ecosystem technologies such as Hive, Impala, and Cloudera Data Platform (CDP) is advantageous
• Good understanding of data warehousing, analytics platforms, and large-scale data processing.
• Experience delivering projects using Agile and/or Waterfall methodologies
• Familiarity with reporting and visualisation tools such as Tableau and SAP BusinessObjects.
• Experience with data virtualisation platforms such as Denodo and DevOps practices is preferred.
• Strong problem-solving skills with the ability to diagnose issues across infrastructure, data, and application layers.
• Experience designing and supporting highly available, secure, and high-performance systems in on-premises, data centre, or hybrid cloud environments is an advantage.

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Company Intel

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