Azure data bricks with fact & dimension table, Spark SQL, Pyspark, autoloader, unity catalogue & file format JSon - Mandatory

Mandate Skills : Hands on experience in Azure Databricks & Medallion Architecture
- 7 years - 9 years. in Azure Databricks technologies.
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- Experience in Medallion Architecture is mandatory.
- Good understanding of ETL, BI and DW technologies.
- Hands-on experience on Jason or XML files as sources.
- Experience in autoloader for incremental loading and explode options for flattening data
- Experience in loading Delta live tables
- Experience in PySpark or Spark using data frames.
- Design, implement, and maintain data pipelines for data ingestion, processing, and transformation in Azure.




- Work together with data scientists and analysts to understand the needs for data and create effective data workflows.
- Create and maintain data storage solutions including Azure SQL Database, Azure Data Lake, and Azure Blob Storage.
- Utilizing Azure Data Bricks to create and maintain ETL (Extract, Transform, Load) operations.
- Implementing data validation and cleansing procedures will ensure the quality, integrity, and dependability of the data.
- Improve the scalability, efficiency, and cost-effectiveness of data pipelines.
- Monitoring and resolving data pipeline problems to guarantee consistency and availability of the data.
- Valuable communication skills – Oral & Written

📌 Cloud Data Pipeline Specialist (Hyderabad)
🏢 Tech Mahindra
📍 Hyderabad