Data Engineer Sr (DBT)

NTT
Bengaluru
Workplace: OnsiteFull timeFunction: Data Analytics & Business IntelligenceSkills: ["Collaboration","Code review","Documentation","Performance tuning","Defect analysis"]

Design and implement dbt staging, core, and mart layers using standard patterns and folder structures, ensuring reliable data quality with schema/data tests. Build reusable dbt components (snapshots, seeds, macros) and align Snowflake physical data structures for efficient model execution. Lead migration by validating functional equivalence to legacy Informatica outputs, tune performance, and integrate dbt into CI/CD workflows (Azure DevOps, GitHub Actions) with automated runs and documentation.

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FursaFursa
NTT
NTT
3 months ago

Data Engineer Sr (DBT)

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Source: Company careers pageValidated by: Fursa AI
Last checked: 6 days agoStatus: Live

Job Summary

Design and implement dbt staging, core, and mart layers using standard patterns and folder structures, ensuring reliable data quality with schema/data tests. Build reusable dbt components (snapshots, seeds, macros) and align Snowflake physical data structures for efficient model execution. Lead migration by validating functional equivalence to legacy Informatica outputs, tune performance, and integrate dbt into CI/CD workflows (Azure DevOps, GitHub Actions) with automated runs and documentation.
Location: Bengaluru
Workplace: Onsite
Employment Type: Full time
Job Function: Data Analytics & Business Intelligence
Seniority: Mid level

Key Responsibilities

  • •Design and implement dbt staging, core, and mart layers using standard patterns and folder structures.
  • •Develop and maintain dbt tests (schema, data, custom) to ensure data quality and integrity.
  • •Implement snapshots, seeds, macros, and reusable components where appropriate.
  • •Collaborate with Snowflake developers to ensure physical data structures support dbt models efficiently.
  • •Integrate dbt with CI/CD pipelines (Azure DevOps, GitHub Actions) for automated runs and validations, and tune performance and address defects during migration/stabilization.

Key Requirements

  • •10+ years in modern ELT/transformation engineering with strong dbt-based development for curated enterprise data layers.
  • •Define dbt project standards, modular model design, testing frameworks, documentation, macros, environment strategy, and deployment controls.
  • •Lead development of conformed Silver layer models across Policy, Claims, Billing, and shared dimensions/reference domains.
  • •Integrate dbt with Databricks/Delta Lake using orchestration tools, version control, and automated quality checks.
  • •Guide developer productivity with code review standards, reusability, performance tuning, and traceability from mapping to model implementation.
Experience:ELTData transformationEnterprise data
Skills:CollaborationCode reviewDocumentationPerformance tuningDefect analysis
Tech Stack:DbtSnowflakeInformaticaDatabricksDelta LakeAzure DevOpsGitHub Actions

Company Brief

NTT
Dimension Data, operating under NTT Ltd, provides managed IT services, cloud and data center solutions, networking, cybersecurity, and digital transformation services to enterprise customers worldwide.
Industry: Professional Services
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Established Company
Valuation: Public Company (Market Cap in USD)
Headquarters: London, United Kingdom
Founded: 1983
WebsiteLinkedIn