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Data Platform Engineer with Azure Databricks and Unity Catalog
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Data Platform Engine....
Excelon Solutions
drjobs Data Platform Engineer with Azure Databricks and Unity Catalog العربية

Data Platform Engineer with Azure Databricks and Unity Catalog

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1 Vacancy
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Job Location

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- USA

Monthly Salary

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Not Disclosed

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Salary Not Disclosed

Vacancy

1 Vacancy

Job Description

Req ID : 2631550

There was a change in requirement you might have to change your search based on NEW JD given below

Please read carefully . these 2 different roles but they look very similar.

Let me know if you have any questions for me

Please do not submit resumes which are not relevant the role

Data Platform Engineer with Azure Databricks and Unity Catalog.

Seattle based client

1012 months

Visa any

Rate$80/hr based on experience Flexible for ROCK STAR

Seattle WA

We will prefer local candidates or candidates who can relocate

We are also fine with REMOTE candidate if he is a ROCK STAR

Core skills needed

Data Platform Engineer with Databricks and Unity Catalog.

Experience 9 years

Design and implement data architecture leveraging technologies such as Azure Databricks.

Set up Unity Catalog Should have specific experience setting up Unity Catalog

Good to have Privacera and Collibra.

Develop optimize and manage data pipelines for ETL processes using azure Databricks with a focus on data integrity and quality.

Design and maintain data models and schemas incorporating Unity Catalog and Collibra data governance practices.

Ensure data security and compliance with regulations using Databricks.

Establish a robust data governance strategy defining standards metadata management lineage and quality practices.

Operationalize Machine Learning models in Batch and Real Time Data Pipelines leveraging relevant governance setups.

Collaborate with crossfunctional teams including data scientists engineers and analysts to translate business requirements into scalable solutions.

Employment Type

Full Time

Key Skills

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

About Company

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