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Azure Data Engineer

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Job Location drjobs

USA

Monthly Salary drjobs

Not Disclosed

drjobs

Salary Not Disclosed

Job Description

Role: Azure Data Factory (ADF) ADF Lead
Location: Milwaukee WI 53209 (OnsiteHybrid)
Must Have Skills:

ADF
SQL PL SQL
Hive DW
Azure Platform
Nice to Have Skills:
Cloud Computing
Detailed Job Description:
Developer with 810 experience in IT industry and at least 5 yrs. of experience on Azure Platform.
Should have excellent technical knowledge on Microsoft Azure Platform with hands on expertise specifically on Azure Data Factory ADF Hive.
Excellent knowledge of SQL Experience working on Data Warehouse concepts on designing like star schema snow flake dimension and fact table.
Responsibilities would be Lead effort to develop technical solution to as per customer requirement.
Develop ADF Pipelines for Data ingestions and transformation. Write Hive Queries. Schedule the jobs for automated execution.
Ensure Performance of ADF and Hive and tune as requirement.
Drive the deployment of solutions onto the Azure platform by working with customers and internal team to envision architect and help build solutions.

Minimum Years of Experience: 810 years

Certifications Needed: No

Top 3 responsibilities you would expect the Subcon to shoulder and execute:
Developer with at 10 years experience in IT industry and at least 5 yrs. of experience on Azure Platform.
Should have excellent technical knowledge on Microsoft Azure Platform with hands on expertise specifically on Azure Data Factory ADF Hive excellent knowledge of SQL Experience working on Data Warehouse concepts on designing like star schema snow flake dimension and fact table.
Develop ADF Pipelines for Data ingestions and transformation. Write Hive Queries. Schedule the jobs for automa

Thanks & Regards

Adarsh Singh

EXT 255

TekisHub Consulting Services Pvt Ltd

Linkedin: linkedin.com/in/adarshsingh612aa4193

Employment Type

Remote

Company Industry

Key Skills

  • Apache Hive
  • S3
  • Hadoop
  • Redshift
  • Spark
  • AWS
  • Apache Pig
  • NoSQL
  • Big Data
  • Data Warehouse
  • Kafka
  • Scala
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