Senior Data Engineer

BMC
Pune
Workplace: HybridFull time2,130,750 - 3,551,250 annuallyFunction: Solutions Engineering & Sales EngineeringSkills: ["Cross-functional collaboration","Communication","Troubleshooting","Reliability focus","Data quality focus"]

Design, build, and scale governed data platforms and pipelines that power analytics, BI, reporting, machine learning, and GenAI use cases. You’ll develop ELT/ETL workflows ingesting CRM, telemetry, marketing, finance, support, and subscription data; create reliable data models; and improve data quality, observability, lineage, and performance. Partner with analytics, data science, architects, and business stakeholders to translate requirements into production-grade, secure data solutions.

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FursaFursa
BMC
BMC
3 days ago

Senior Data Engineer

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Source: Company careers pageValidated by: Fursa AI
Last checked: 12 hours agoStatus: Live

Job Summary

Design, build, and scale governed data platforms and pipelines that power analytics, BI, reporting, machine learning, and GenAI use cases. You’ll develop ELT/ETL workflows ingesting CRM, telemetry, marketing, finance, support, and subscription data; create reliable data models; and improve data quality, observability, lineage, and performance. Partner with analytics, data science, architects, and business stakeholders to translate requirements into production-grade, secure data solutions.
Location: Pune
Workplace: Hybrid
Employment Type: Full time
Job Function: Solutions Engineering & Sales Engineering
Seniority: Mid level

Key Responsibilities

  • •Design, build, and maintain scalable data pipelines and integrations across internal and external systems.
  • •Develop and optimize data solutions for analytics, BI, machine learning, AI/Agentic AI, and self-service data access.
  • •Build robust ELT/ETL workflows to ingest and transform data from multiple business systems.
  • •Maintain clean, scalable, well-documented data models and semantic/serving layers for enterprise reporting and analytics.
  • •Improve data reliability, quality, observability, lineage, and performance; troubleshoot pipeline issues and resolve data inconsistencies.
Travel: Low travel

Pay and Benefits

Salary: 2,130,750 - 3,551,250 annually

Key Requirements

  • •Strong data architecture and data engineering experience designing governed, scalable data solutions.
  • •Experience building ELT/ETL pipelines to ingest and transform data from enterprise systems (e.g., CRM, telemetry, marketing, finance, support, subscriptions).
  • •Proficiency in data modeling (including dimensional modeling) for enterprise reporting and analytics use cases.
  • •Hands-on knowledge of cloud data platforms and data quality practices, including observability, lineage, and performance optimization.
  • •Ability to partner cross-functionally with analytics, data science, architects, and business teams to deliver production-grade data products and troubleshoot issues.
Experience:B2B SaaSEnterprise technologyData platforms
Skills:Cross-functional collaborationCommunicationTroubleshootingReliability focusData quality focus
Tech Stack:ELTETLData ArchitectureData ModelingData ProcessingSQLInformaticaJavaPythonScalaSnowflakeApache AirflowDatabricksGoogle BigQueryDimensional ModelingFeature EngineeringOrchestrationObservabilityContinuous Integration/Continuous DeliveryData Warehousing

Company Brief

BMC
Provides IT service management, automation, and operations software to help enterprises manage digital services, cloud infrastructure, and mainframe environments with monitoring, service desk, and AIOps solutions.
Industry: Enterprise Software
Company Size: Enterprise (1,001+ employees)
Growth: Established Company
Funding: Private Equity Backed
Headquarters: Houston, United States
Founded: 1980
WebsiteLinkedIn