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Data Engineer (SQL/ Python / Databricks)
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Job Description
Key Responsibilities Execute BAU analytics and data tasks for assigned markets Maintain SQL/Python-based pipelines and notebooks in Databricks Own end-to-end service delivery and ensure SLA/KPI compliance across supported applications.
Manage major incidents, escalations, and stakeholder communications to minimize business disruption.
Coordinate with business users, development teams, vendors, and platform owners to resolve production issues in a timely manner Drive proactive monitoring, root cause analysis, recurring issue elimination, and continuous service improvement initiatives.
Govern production changes, release deployments, activities, and operational readiness reviews. Produce service performance reports, operational dashboards, and executive management updates.
Manage support team performance, resource planning, shift coverage, knowledge management, and continuous improvement activities Drive operational excellence initiatives to improve service quality and efficiency Ensure compliance with IT governance, audit, security, and data privacy requirements Job Requirements Bachelor's degree in Computer Science, Information Technology, Engineering, or related discipline.
Strong SQL/Python skills for data processing and automation Hands-on Databricks operational experience (notebooks, jobs, monitoring) Good SQL skills for analytics and reporting 5+ years of IT operations or service delivery experience, with at least 3 years in a Service Delivery or Application Support lead role.
Strong knowledge of ITIL processes, with hands-on experience using ServiceNow. Experience in managing L2 application support. Strong leadership, communication, analytical, and problem-solving skills. ITIL, PMP, PRINCE2, Agile, or ServiceNow certifications are advantageous.
Interested applicants please send your resume to venessagoh@recruitexpress. com. sg Venessa Goh Wee Ni R24124686 Recruit Express Pte Ltd EA License No: 99C4599 We regret that only shortlisted candidates will be contacted.
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