Key Duties:
Design and implement scalable data architectures and data models to support engineering reliability data. Integrate data from multiple sources using ETL processes to ensure consistency and accuracy. Manage and optimize databases for efficient data storage, retrieval, and real-time processing. Enforce data quality standards and execute validation processes to maintain data reliability. Implement data security and compliance measures aligned with regulatory requirements. Collaborate closely with data scientists and analysts to support advanced analytics. Continuously monitor and improve data infrastructure performance and scalability. Maintain comprehensive documentation of data processes, architecture, and models. Stay updated on emerging technologies to recommend enhancements to data engineering capabilities. Actively participate in safety practices and departmental housekeeping initiatives. Qualifications & Experience:
Bachelor’s degree or Bachelor of Technology in Information Technology, Computer Science, Engineering, or related fields. 6–8 years’ experience in database management, data modelling, ETL, and real-time data processing. Proven expertise with Database Management Systems, Big Data technologies, and cloud computing principles. Familiarity with programming/scripting languages relevant to data engineering. Relevant certifications preferred (e.g., SAP Certified Application Associate, Oracle Certified Associate, Microsoft Dynamics). Valid driver’s licence. Skills & Competencies:
Strong technical skills in database architecture, data modelling, ETL, and data quality governance. Ability to detect data anomalies and perform root cause analysis. Proficient in change management and project management fundamentals.