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, P&C 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