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Azure Data Engineer - Divya Peta POC

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Onsite

Azure Data Engineer - Divya Peta POC

Han Digital Solution

Azure Data Engineer - Divya Peta POC

Skills

PythonDatabricksPySparkAzure

10 months ago

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Important information


Contract type:

Permanent

Location:

Bengaluru, Karnataka, India

Work mode:

Onsite

Published on:

14 October 2026

What they need


Job highlights

  • Notice Period: Immediate - 20 th Jan 2026 maximum. . Work Environment : . - International context fluent English is mandatory
  • Mandate skills below: . Azure Databricks (Python / PySpark) strong hands-on experience
  • Experience with ETL,ESB,or API ingestion / integration

Role: Azure Data Engineer

Mandate skills below:

Azure Databricks (Python / PySpark) strong hands-on experience

Azure Data Factory (ADF) pipeline development and orchestration

ETL / ELT concepts data ingestion, transformation, and integration patterns

Azure DevOps mandatory for:

CI/CD pipelines

Deployment management

Work item tracking and release coordination

Exp. : 7 9 yrs.

Budget : 22 LPA

Location: CV Raman Nagar, Bangalore (3 Days WFO)

Interview mode - 3 rounds - all virtual

Notice Period: Immediate - 20 th Jan 2026 max.

Work Environment :

  • International context fluent English is mandatory

  • Fast-paced environment with expectations to manage multiple data ingestions in parallel

  • Responsible for coordinating technical and functional stakeholders to execute and oversee all group data ingestions

Candidate Requirements :

  • Proven experience as a Project Manager or Data Business Analyst

  • Ability to drive, follow up, and report on data ingestion activities (ingestion, classification, lineage)

  • Accountable for the delivery of Data Engineers and source-side stakeholders (including external vendors)

  • Ability to document data ingestion requirements (e.g., mappings, business rules)

  • Autonomous, proactive, and initiative-driven

  • Solution-oriented with strong skills in managing cross-functional stakeholders (both managerial and operational)

  • Excellent skills in documentation and presentations

Technology Requirements :

Must-have : Azure DevOps

Nice-to-have :

Experience with ETL, ESB, or API ingestion/integration

Familiarity with modern data platforms.

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