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Azure Databricks Engineer - Python/PySpark @ Leuwint Technologies

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 Azure Databricks Engineer - Python/PySpark

Job Description

- Minimum 4 years of experience in relevant field.

- Hands on experience in Databricks, SQL, Azure Data Factory, Azure DevOps- Strong expertise in Microsoft Azure cloud platform services (Azure Data Factory, Azure Data Bricks, Azure SQL Database, Azure Data Lake Storage, Azure Synapse Analytics).- Proficient in CI-CD pipelines in Azure DevOps for automatic deployments- Good in Performance optimization techniques like using temp tables, CTE, indexing, merge statements, joins.- Familiarity in Advanced SQL and programming skills (e.g., Python, Pyspark).- Familiarity with data warehousing and data modelling concepts.- Good in Data management and deployment processes using Azure Data factory and Databricks, Azure DevOps.- Knowledge on integrating every azure service with DevOps- Experience in designing and implementing scalable data architectures.- Proficient in ETL processes and tools.- Strong communication and collaboration skills.- Certifications in relevant Azure technologies are a plus

Job Classification

Industry: IT Services & Consulting
Functional Area / Department: Engineering - Software & QA
Role Category: Software Development
Role: Data Platform Engineer
Employement Type: Full time

Contact Details:

Company: Leuwint Technologies
Location(s): Hyderabad

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Keyskills:   Azure Databricks Azure Data Factory PySpark Data Modeling Data Analytics ETL SQL Python

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