Assistant Manager- Data Engineer
Gurugram, Haryana, India
- Pay
- Salary not listed in the saved posting
- Work setup
- Unconfirmed
- Employment
- Unconfirmed
Tools in this posting
- Databricks
Source — Tool mentions in context
•Design and build scalable, production-grade data engineering solutions using the Databricks LakehousePlatform •Develop client-focused Proof of Concepts (POCs) demonstrating modern data engineering and analytics capabilities
•Translate business and analytical requirements into robust data models and layered architectures (Bronze/Silver/Gold) •Design robust data ingestion, transformation, and orchestration pipelines using Databricks best practices •Implement enterprise-grade data governance, security, and access control using Unity Catalog and related Databricks capabilities
•Design robust data ingestion, transformation, and orchestration pipelines using Databricks best practices •Implement enterprise-grade data governance, security, and access control using Unity Catalog and related Databricks capabilities •Design and build scalable, production-grade data engineering solutions using the Databricks LakehousePlatform
•Implement enterprise-grade data governance, security, and access control using Unity Catalog and related Databricks capabilities •Design and build scalable, production-grade data engineering solutions using the Databricks LakehousePlatform •Develop client-focused Proof of Concepts (POCs) demonstrating modern data engineering and analytics capabilities
•Design robust data ingestion, transformation, and orchestration pipelines using Databricks best practices •Implement enterprise-grade data governance, security, and access control using Unity Catalog and related Databricks capabilities Graduate in Computer Science, Data Science, Information Technology, or a related field. 2-3 years of experience in ETL or data management.
Job description
•Design and build scalable, production-grade data engineering solutions using the Databricks LakehousePlatform
•Develop client-focused Proof of Concepts (POCs) demonstrating modern data engineering and analytics capabilities
•Translate business and analytical requirements into robust data models and layered architectures (Bronze/Silver/Gold)
•Design robust data ingestion, transformation, and orchestration pipelines using Databricks best practices
•Implement enterprise-grade data governance, security, and access control using Unity Catalog and related Databricks capabilities •Design and build scalable, production-grade data engineering solutions using the Databricks LakehousePlatform
•Develop client-focused Proof of Concepts (POCs) demonstrating modern data engineering and analytics capabilities
•Translate business and analytical requirements into robust data models and layered architectures (Bronze/Silver/Gold)
•Design robust data ingestion, transformation, and orchestration pipelines using Databricks best practices
•Implement enterprise-grade data governance, security, and access control using Unity Catalog and related Databricks capabilities
•Develop client-focused Proof of Concepts (POCs) demonstrating modern data engineering and analytics capabilities
•Translate business and analytical requirements into robust data models and layered architectures (Bronze/Silver/Gold)
•Design robust data ingestion, transformation, and orchestration pipelines using Databricks best practices
•Implement enterprise-grade data governance, security, and access control using Unity Catalog and related Databricks capabilities •Design and build scalable, production-grade data engineering solutions using the Databricks LakehousePlatform
•Develop client-focused Proof of Concepts (POCs) demonstrating modern data engineering and analytics capabilities
•Translate business and analytical requirements into robust data models and layered architectures (Bronze/Silver/Gold)
•Design robust data ingestion, transformation, and orchestration pipelines using Databricks best practices
•Implement enterprise-grade data governance, security, and access control using Unity Catalog and related Databricks capabilities
Graduate in Computer Science, Data Science, Information Technology, or a related field. 2-3 years of experience in ETL or data management.
Your next step
- Have your CV and examples of relevant work ready.
- Check the listed location, eligibility and core experience before starting.
- Ask the employer about the salary range before committing time to the process.
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Source & posting history
Source notes
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- Pay
No pay amount identified in the saved description.
- Location & working pattern
Gurugram, Haryana, India
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- Work authorization
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- Status in our records
- Active
- First seen by us
- Oct 3, 2026
- Recorded sightings
- 21
- Last seen by us
- Oct 8, 2026
- Employer says posted
- Sep 30, 2026
These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.
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