Engineer - Data Engineering

Altimetrik • IT Consulting & Digital Transformation • IT Outsourcing & Dedicated Teams • Python • SQL • Power BI • 6 days ago
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Salary
≈ $19k – $49k per year (Estimated)
Location
In office (Bengaluru)

Confirmed on the employer's own hiring board on Oct 23, 2026. First seen by Alion on Apr 1, 2026. Altimetrik scores D on the Alion truth index.

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Altimetrik

Altimetrik is a digital and AI engineering services company headquartered in Southfield, Michigan, that builds software, data, cloud and AI systems for large enterprises in banking, insurance, automotive, healthcare, retail and technology. Founded in 2012 by Raj Vattikuti, the founder of Covansys, it employs between 5,000 and 10,000 people, with major delivery centers in Chennai, Bengaluru, Pune and Hyderabad and further offices in Krakow, Mexico City, Montevideo, Singapore, Canada and the US. It hires data, AI and generative AI engineers, Java, .NET and full stack developers, DevSecOps, cybersecurity and Salesforce engineers, architects and engineering managers.
altimetrik.com • HQ: Southfield, United States • AI Consulting & Integration • IT Outsourcing & Dedicated Teams • Custom Software Development • IT Consulting & Digital Transformation • 51-200 employees • Est. 2012
Tech stack of Altimetrik

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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