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Rarr Technologies
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Azure Databricks Engineer

Azure Databricks Engineer

Rarr Technologies

5 - 10 years

6 - 10 Lacs

gandhinagar visakhapatnam warangal hyderabad chennai coimbatore aurangabad noida bhubaneswar kolkata mumbai indore nagpur chandigarh nashik new delhi mysuru pune ahmedabad gurugram bengaluru vadodara

Posted:-1 days ago| Platform:

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Skills Required

data validation sql database scalability spark management business intelligence data warehousing cost monitoring

Work Mode

Work from Office

Job Type

Full Time

Job Description

We are looking for a skilled Azure Data Engineer with strong experience in ETL, Business Intelligence (BI), and Data Warehousing (DW) technologies. The ideal candidate will have hands-on expertise in building and managing scalable data pipelines and storage solutions in the Azure ecosystem.

Roles and Responsibility

Design, implement, and maintain data pipelines for data ingestion, processing, and transformation in Azure.
Collaborate with data scientists and analysts to understand data needs and create effective data workflows.
Create and maintain data storage solutions including Azure SQL Database, Azure Data Lake, and Azure Blob Storage.
Utilize Azure Data Bricks to create and maintain ETL operations.
Implement data validation and cleansing procedures to ensure data quality, integrity, and dependability.
Enhance the scalability, efficiency, and cost-effectiveness of data pipelines.

Job Requirements

Good understanding of ETL, BI, and DW technologies.
Experience with PySpark or Spark.
Strong communication skills, both oral and written.
Ability to work together with data scientists and analysts to understand data needs.
Hands-on expertise in building and managing scalable data pipelines and storage solutions in Azure.

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Rarr Technologies

Information Technology

San Francisco

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Azure Databricks Engineer

Rarr Technologies

gandhinagar, visakhapatnam, warangal, hyderabad, chennai, coimbatore, aurangabad, noida, bhubaneswar, kolkata, mumbai, indore, nagpur, chandigarh, nashik, new delhi, mysuru, pune, ahmedabad, gurugram, bengaluru, vadodara