On-site
Part Time
JD for Azure Data Bricks:
Core responsibilities
Design and development:
Architect and build scalable, robust data solutions on the Azure Databricks platform.
Data pipelines:
Develop and maintain data pipelines, handling both batch and streaming data for various file formats like CSV, JSON, and Parquet.
ETL/ELT processes:
Implement and optimize ETL/ELT processes to transform raw data into usable formats for analytics and reporting.
Collaboration:
Work closely with data engineers, data scientists, and business analysts to meet data requirements and support machine learning workflows.
Performance optimization:
Tune Databricks clusters and jobs for performance, scalability, and cost efficiency.
Integration:
Integrate Databricks with other Azure services such as Azure Data Lake, Synapse, Key Vault, and SQL Database.
Maintenance and support:
Monitor and troubleshoot data pipelines, resolve issues, and perform code reviews.
Security and governance:
Implement security best practices, access controls, and data governance policies.
Required skills and experience
Technical proficiency:
Azure services: Experience with other Azure services like Azure Data Factory, Azure Data Lake Storage (ADLS), and Azure SQL Database
BirlaSoft
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