Data Engineering Support Lead

Job description

**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: 1. Receiving and acknowledging tickets 2. On-call rotation 3. Incident triaging and priority assessment 4. Assignment of incidents 5. Incident resolution 6. Application monitoring and preventive maintenance 7. Weekly status and SLA reporting - Incident and Problem management: 1. Analyze, troubleshoot and work with team to resolve complex production application defects 2. Identify root cause and devise and implement permanent solutions to recurring defects - Build and maintain application monitoring, optimization and utilization 1. 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.