Lead/Assistant Manager/Service Delivery Engineer - Analytics

Job Description : The Practitioner should be STRONG IN : - Technical responsibility for maintaining the client Cloud Data Warehouses including data updates, bugs and data fixes - ETL processes, architecture & working experience in ETL Tool or Similar - Understanding of Azure Data Factory - Technical concepts, Analytical and Problem solving skills, with ability to confidently interact with client's Technical Lead/Manager - SQL queries & working experience in SQL code or Stored Procedures or Functions or Views or Similar - Development of enhancements to existing client data warehouses such as addition of new data sources - Potential to get involved with 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 (Azure SQL Data Warehouse Synapse or Snowflake) - Database & working experience in any of the database like MS SQL, Oracle or Similar - Communication (read & write in English), Collaboration & Presentation skills & working experience as team player or Similar - Prioritizing support incident/request based on the priority/severity The Practitioner should have BASIC knowledge of : - Understanding of Spark or Hadoop or Hive (incl. derivatives like pySpark (preferred), SparkScala or SparkSQL) or Similar - Code Management & working experience in GIT Hub, Azure DevOps or Similar - Expertise in implementing DevOps practices such as infrastructure as code, continuous integration and automated deployment. The Practitioner should have working experience of : 1. Application supports : - On-call rotation - Receiving and acknowledging tickets - Incident triaging and priority assessment - Assignment of incidents - Incident resolution - Application monitoring and preventive maintenance - Weekly status and SLA reporting 2. Incident and problem management : - Analyse, troubleshoot and resolve complex production application defects - Identify root cause and devise and implement permanent solutions to recurring defects - Build and maintain application monitoring, optimisation and utilisation - Devise or modify programs to solve complex problems considering computer equipment capacity and limitations, operating time, and form of desired results. - Monitor production ADF jobs and environments (ref:hirist.tech)

Location: India, IN

Posted Date: 4/24/2024