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bourntec

Azure Data Engineer

Bhubaneshwar · Mid Level

Older listing - lower visibility likelyVerified listingPosted 513d ago

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86Overall
64Skills
97Experience

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What we know about this role

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First 72 hours

Window passed - posted 513d ago

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Skills required

6 listed
Azure Data LakeAzure Blob StorageAzure Data FactoryMicrosoft AzureSQL (Programming Language)Extract Transform Load (ETL)
Azure Data LakeAzure Blob StorageAzure Data FactoryMicrosoft AzureSQL (Programming Language)

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Job description

  • Design, implement, and maintain data pipelines for data ingestion, processing, and transformation in Azure.
  • Work together with data scientists and analysts to understand the needs for data and create effective data workflows.
  • Create and maintain data storage solutions including Azure SQL Database, Azure Data Lake, and Azure Blob Storage.
  • Utilizing Azure Data Factory or comparable technologies, create and maintain ETL (Extract, Transform, Load) operations.
  • Implementing data validation and cleansing procedures will ensure the quality, integrity, and dependability of the data.
  • Improve the scalability, efficiency, and cost-effectiveness of data pipelines.
  • Monitoring and resolving data pipeline problems will guarantee consistency and availability of the data.


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Two ways in

Applicants who checked fit first are 3.1× more likely to hear back

Your match scoreFree · sign in
86Overall
64Skills
97Experience

Your score for this role already exists

ASAI compared this JD against 41 signals - skills, seniority, domain, stack overlap etc. Add a resume and it unlocks in about 30 seconds.

Always free · no credit card · 1 tap with Google

Free · no signup

Get tomorrow's jobs before you have to search

Daily job drops, skill trends and free resources - posted straight to the group. Leave any time.

Join WhatsAppJoin Telegram

No spam. Just jobs and resources.

Why people use ASAI

Someone shared one job with you. ASAI keeps finding the rest.

  • Scored, not searched. Every role ranked against your actual profile.

  • Alerts as often as hourly. Reach new roles while the pile is still small.

  • Skill gaps, spelled out. See exactly which requirements you don't meet yet.

  • Verified jobs, only. Say no to ghost jobs. Your time deserves respect.

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