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Altimetrik

Posted 1 Apr 2026

Engineer - Data Engineering

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Employment
Full time
Posted
1 Apr 2026

About the role

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

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