Engineer - Data Engineering

Role : Incident acknowledgement and initial RCA. Data repair: Executions and tracking* Incidents re-route to concerned team like Global digital L2 support, TALM systems, EHC support, PET, PC s Query analysis and data validations with pointed repair clauses for data issues (routed to application teams via JIRA incidents) for all modules of store reporting Data refresh validations and metrices correctness SLA monitoring and user follow-ups. Access related operations: additions of users to SSC security groups. Pager duty support for s occurring outside office hours RCA and data repair documentations RCA to educate the users on metrices and KPIs, based on the requests Communication, coordination and notification of traffic data, region specific hourly data understatement to source teams for further reviews. Skills : Hands-On in snowflake and PBI data modelling ADF , Kafka pipelines understanding Proficiency in SQL Understanding of dynamic tables, medallion architecture Data engineering and visualization concepts Strong communication skills Handson on feature usages for JIRA, service now and confluence On call proficiencies ITIL fundamentals with deep understanding of incidents, changes and problem management Confluence hands-on Technologies : Observability concepts Datadog Python, Notebooks hands-on Power BI AI fundamentals Support optimization-tools and reconciliation reports Disclaimer : This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.