Sr Technical Lead-Data Engg (INDIA - BENGALURU - BIRLASOFT OFFICE, IN)

Birlasoft
Bengaluru
Workplace: OnsiteFull timeFunction: Administration & Executive AssistanceSkills: []

Lead the design and delivery of large-scale batch and ETL data processing systems. Own Spring Batch-based job design with partitioning and parallel execution, and build distributed architectures separating orchestration, execution, and processing layers. Drive Azure-based orchestration and scheduling using Azure Data Factory, Azure Batch, and Azure Storage, and operationalize pipelines with CI/CD on Azure DevOps plus Azure Monitor, Log Analytics, and Application Insights.

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FursaFursa
Birlasoft
Birlasoft
3 days ago

Sr Technical Lead-Data Engg (INDIA - BENGALURU - BIRLASOFT OFFICE, IN)

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Source: Company careers pageValidated by: Fursa AI
Last checked: 22 hours agoStatus: Live
Reposted: similar role first listed 4 weeks ago

Job Summary

Lead the design and delivery of large-scale batch and ETL data processing systems. Own Spring Batch-based job design with partitioning and parallel execution, and build distributed architectures separating orchestration, execution, and processing layers. Drive Azure-based orchestration and scheduling using Azure Data Factory, Azure Batch, and Azure Storage, and operationalize pipelines with CI/CD on Azure DevOps plus Azure Monitor, Log Analytics, and Application Insights.
Location: Bengaluru
Workplace: Onsite
Employment Type: Full time
Job Function: Administration & Executive Assistance
Seniority: Mid level

Key Responsibilities

  • •Design Spring Batch jobs with partitioning and parallel processing to support core batch and processing workloads.
  • •Develop orchestration and workload scheduling solutions using Azure Data Factory and Azure Batch.
  • •Create distributed, scalable batch processing architectures and define multi-layer designs (orchestrator vs execution vs processing).
  • •Build and manage data pipelines using Azure Storage (ADLS Gen2/Blob) and Azure SQL.
  • •Implement CI/CD and observability for large-scale data pipelines using Azure DevOps, Azure Monitor, Log Analytics, and App Insights.

Key Requirements

  • •Strong expertise in Spring Batch, including job design, partitioning, and parallel processing.
  • •Deep knowledge of enterprise batch frameworks and workload orchestration.
  • •Experience orchestrating pipelines using Azure Data Factory, including dependency management.
  • •Hands-on with Azure Batch (job scheduling, compute pools, and parallel task execution) and Azure Storage/Blob (ADLS Gen2).
  • •Knowledge of distributed, scalable batch processing architectures and ETL frameworks, including multi-layer design (orchestrator vs execution vs processing).
Experience:Data engineeringBatch processingETL
Tech Stack:Spring BatchAzure Data Factory (ADF)Azure BatchAzure StorageADLS Gen2Azure Blob StorageAzure SQLAzure Container AppsCI/CDAzure DevOpsAzure MonitorLog AnalyticsApplication InsightsApp InsightsVM-based runtime

Company Brief

Birlasoft
Birlasoft is a global IT services and digital solutions provider delivering consulting, enterprise applications, cloud, and infrastructure services to enterprises across industries, helping accelerate digital transformation and business modernization.
Industry: Professional Services
Company Size: Enterprise (1,001+ employees)
Revenue: USD 500M to 1B
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Noida, India
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