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:

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.