Mid-Level Data Engineer (Azure)

executiveplacements.com • United State
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AI Summary

We are seeking a Mid-Level Data Engineer with expertise in Azure Data Engineer and a strong portfolio of successfully implemented data solutions using Azure Stack. The ideal candidate will have excellent communication and interpersonal skills, with the ability to explain technical concepts to non-technical stakeholders.

Key Highlights
Mid-level Data Engineer position
Azure Data Engineer expertise
Strong portfolio of data solutions using Azure Stack
Technical Skills Required
Azure T-SQL ADF Pyspark Lakehouse DW AML Cosmos Scope Kusto KQL
Benefits & Perks
Relocation assistance
Day 1 onsite

Job Description


Hi

Hope you are doing well !!

I have an urgent position. Kindly go through the Job description and let me know if this would be of interest to you.

Title : Mid-level Data Engineer (Onsite)

Duration : 6 Months

Location : Redmond, WA (Day 1 onsite Relocation will work)

Job Description

  • Attention to Detail: Meticulous attention to detail to ensure data security, accuracy and consistency.
  • Communication Skills: Excellent verbal and written communication skills. Ability to explain technical concepts to non-technical stakeholders clearly and concisely.
  • Interpersonal Skills: Should be a good team player, and open for coordinate with offshore team
  • Experience: Proven experience as a Azure Data Engineer or in a similar role, with a strong portfolio of successfully implemented data solutions using Azure Stack (T-SQL, ADF, Pyspark, Lakehouse, DW, AML in Azure Fabric Environment)
  • Technical Proficiency: In-depth knowledge of ETL processes around ADF, Pyspark, OneLake, Databricks and newest features from Microsoft stack on Fabric. Secondary skills on Cosmos, Scope, Kusto, KQL.
  • Analytical Skills: Able to articulate the data understanding through the Data modeling, DAX and PBI reports
  • Educational Background: Bachelor''s or Master''s degree in Computer Science, Information Technology, or a related field.
  • Cross-Functional Coordination: Coordinate with cross-functional teams to ensure cohesive data strategies and solutions.
  • Regulatory Compliance: Ensure data architecture and management practices comply with relevant regulatory requirements and industry standards
  • Good to Have: Financial domain knowledge

If you are interested, please share your updated resume and suggest the best number & time to connect with you

Thanks & Regards

US IT RECRUITER, DMS VISIONS INC

Ext-104 |

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