Data Engineering Support Lead

Job Summary EXL is looking for a Service Delivery Manager within the Cloud Data Warehouse delivery team. The job is a hybrid role offering a wide variety of opportunities and will suit someone who can adapt quickly and rise to the challenges of a small, fast-growing software organisation in one of the largest industries in the world. Leadership not only in the conventional sense, but also within a team we expect people to be leaders. Candidate should elicit leadership qualities such as Innovation, Critical thinking, optimism/positivity, Communication, Time Management, Collaboration, Problem-solving, Acting Independently, Knowledge sharing and Approachable. The Practitioner should be STRONG IN: Managing Customer engagement, Liaise with Clients Engagement managers oversee the customer service operations within a business, dealing with customers directly and often as their first point of contact. Application support: Receiving and acknowledging tickets On-call rotation Incident triaging and priority assessment Assignment of incidents Incident resolution Application monitoring and preventive maintenance Weekly status and SLA reporting Incident and Problem management: Analyze, troubleshoot and work with team to resolve complex production application defects Identify root cause and devise and implement permanent solutions to recurring defects Build and maintain application monitoring, optimization and utilization Devise or modify programs to solve complex problems considering computer equipment capacity and limitations, operating time, and form of desired results. Lead the support team to achieve compliance with SLAs, work within commercial and resource constraints; prioritization, resourcing, scheduling and QA across all activities. Communicate with stakeholders in case of delays or SLA breaches. Maintain and own defect management and incident resolution process. Follow up with third party vendors for issue resolution and prevention, if required. Perform weekly incident/bug review meetings with application team. Perform custom, ad-hoc data analysis and reporting based on stakeholder requests within SLA. Support weekly and monthly customer report processing. Good experience of working in Agile methodologies Manage process improvements Resolve defects within the defined service levels. Review and take actions on operational metrics reporting Follow SDLC standards, source code management, and release management procedures Excellent verbal and written communication skills Mentor offshore team members in Process and Delivery of work items within defined schedule Ability to be eloquent and present different point-of-view during production support and releases Code Management & working experience in GIT Hub, Azure DevOps or Similar Working knowledge of AWS Services like Glue, Athena, Lambda ETL process and tools DevOps practices such as infrastructure as code, continuous integration and automated deployment. Python, Spark or Hadoop or Hive (incl. derivatives like pySpark (preferred), Spark Scala or Spark SQL) or Similar. SQL queries & working experience in SQL code or Stored Procedures or Functions or Views or Similar Performance tuning, design or architecture of new solutions with Data Warehouse Architects Data warehouse working experience of concepts and development using SQL on single (SQL Server, Oracle or Similar) and parallel platforms (AWS Redshift) Tech Stack – Python, PySpark, SQL, ETL, AWS Services, DevOps practices Graduate in Computer Science, Data Science, or related field.