Han Digital Solution
Azure Data Engineer - Divya Peta POC
Skills
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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