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Vlink

https://vlinkinfo.com
Founded :
2010
Type :
Services
Size :
100-1000
Stage :
Profitable

About

The ability to leverage our global technology resources allows us to provide high quality and cost-effective IT solutions to our worldwide client base. Our clients include Healthcare, Insurance, Banking and Financial Services, Retail, Telecom, Manufacturing and Public Sector organizations. VLink is well known for delivering the highest quality and most cost-efficient IT services and workforce management solutions to our clients. Our consultant base has extensive expertise in virtually every specialization within the IT value chain. Our teams can quickly assess your company’s specific requirements and work with you to deliver a tailored, and cost-effective solution. We welcome the opportunity to take on even your most challenging situation and deliver the desired outcome with a significant ROI.
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pratibha sah
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Jobs at Vlink

Vlink

Azure Data Engineer

at Vlink
1 recruiter
pratibha sah
Posted by pratibha sah
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The recruiter has not been active on this job recently. You may apply but please expect a delayed response.

NCR (Delhi | Gurgaon | Noida)
3 - 8 yrs
₹10L - ₹25L / yr (ESOP available)
Azure
Windows Azure
databricks
Microsoft Windows Azure
Data engineering
+2 more

Certification required-
DP-100/DP-200/AZ-900 Cetification Mandatory
Requirements:

  1. 3+ years of hands-on experience in Azure Databricks platform .Delta lake, Time travel design patterns. Lambda Data Architecture
  2. Experience in Azure Cloud Platform. (ADLS, Blob , ADF ).
  3. Understanding of big data file formats like JSON, Avro, Parquet and other prevalent big data file formats
  4. Experience with Python, PySpark, Scala, Spark to write data pipelines and data processing layers
  5. Demonstrate expertise in writing complex, highly-optimized SQL queries across large data sets
  6. Experience with Data Governance ( Data Quality, Metadata Management, Security, etc.)
  7. Strong SQL skills and proven experience in working with large datasets and relational databases.
  8. Understanding Data Warehouse design principles (Tabular, MD).
  9. Experience in working with big data tools/environment to automate production pipelines
  10. Familiarity with Azure Synapse and Snowflake
  11. Experience with data visual analysis and BI tools (matplotlib  and Power BI)
Read more
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