Description:

6+ yrs. of total exp. and 5+ yrs. in Azure Databricks technologies.  Good understanding of ETL , BI and DW technologies.  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.  Experience in PySpark or Spark.  Good communication skills  Oral & Written